Overview

Dataset statistics

Number of variables5
Number of observations91
Missing cells36
Missing cells (%)7.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory42.5 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description서울특별시 용산구 노래연습장현황( 노래연습장업종 노래연습장상호명 노래연습장영업소지번소재지 노래연습장전화번호)에 대한 데이터를 제공합니다
URLhttps://www.data.go.kr/data/3077844/fileData.do

Alerts

업종 has constant value ""Constant
전화번호 has 36 (39.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:54:50.148423
Analysis finished2023-12-12 12:54:51.167886
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-12T21:54:51.251457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.5
Q123.5
median46
Q368.5
95-th percentile86.5
Maximum91
Range90
Interquartile range (IQR)45

Descriptive statistics

Standard deviation26.41338
Coefficient of variation (CV)0.57420392
Kurtosis-1.2
Mean46
Median Absolute Deviation (MAD)23
Skewness0
Sum4186
Variance697.66667
MonotonicityStrictly increasing
2023-12-12T21:54:51.441472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
59 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
노래연습장업
91 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 91
100.0%

Length

2023-12-12T21:54:51.589504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:54:51.679715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 91
100.0%

상호명
Text

Distinct78
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-12T21:54:51.911386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length6.2857143
Min length1

Characters and Unicode

Total characters572
Distinct characters150
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

Unique65 ?
Unique (%)71.4%

Sample

1st row필
2nd row필하모니
3rd row신바람
4th row드림21
5th row용산
ValueCountFrequency (%)
노래연습장 10
 
9.2%
낭낭노래연습장 2
 
1.8%
joyking동전노래연습장 2
 
1.8%
적셔 2
 
1.8%
코니코인 2
 
1.8%
행운노래연습장 2
 
1.8%
아리수노래연습장 2
 
1.8%
스마일노래연습장 2
 
1.8%
샘노래연습장 2
 
1.8%
코인노래연습장 2
 
1.8%
Other values (75) 81
74.3%
2023-12-12T21:54:52.317329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 54
 
9.4%
노 53
 
9.3%
연 50
 
8.7%
습 48
 
8.4%
장 48
 
8.4%
18
 
3.1%
코 12
 
2.1%
인 10
 
1.7%
O 10
 
1.7%
P 9
 
1.6%
Other values (140) 260
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 491
85.8%
Uppercase Letter 42
 
7.3%
Space Separator 18
 
3.1%
Lowercase Letter 12
 
2.1%
Decimal Number 5
 
0.9%
Dash Punctuation 2
 
0.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 54
 
11.0%
노 53
 
10.8%
연 50
 
10.2%
습 48
 
9.8%
장 48
 
9.8%
코 12
 
2.4%
인 10
 
2.0%
스 8
 
1.6%
마 6
 
1.2%
니 5
 
1.0%
Other values (113) 197
40.1%
Uppercase Letter
ValueCountFrequency (%)
O 10
23.8%
P 9
21.4%
K 4
 
9.5%
T 3
 
7.1%
L 2
 
4.8%
A 2
 
4.8%
R 2
 
4.8%
G 2
 
4.8%
J 2
 
4.8%
S 2
 
4.8%
Other values (4) 4
 
9.5%
Lowercase Letter
ValueCountFrequency (%)
k 2
16.7%
g 2
16.7%
n 2
16.7%
i 2
16.7%
y 2
16.7%
o 2
16.7%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
5 1
 
20.0%
1 1
 
20.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 491
85.8%
Latin 54
 
9.4%
Common 27
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 54
 
11.0%
노 53
 
10.8%
연 50
 
10.2%
습 48
 
9.8%
장 48
 
9.8%
코 12
 
2.4%
인 10
 
2.0%
스 8
 
1.6%
마 6
 
1.2%
니 5
 
1.0%
Other values (113) 197
40.1%
Latin
ValueCountFrequency (%)
O 10
18.5%
P 9
16.7%
K 4
 
7.4%
T 3
 
5.6%
L 2
 
3.7%
A 2
 
3.7%
R 2
 
3.7%
G 2
 
3.7%
k 2
 
3.7%
g 2
 
3.7%
Other values (10) 16
29.6%
Common
ValueCountFrequency (%)
18
66.7%
2 3
 
11.1%
- 2
 
7.4%
) 1
 
3.7%
5 1
 
3.7%
( 1
 
3.7%
1 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 491
85.8%
ASCII 81
 
14.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 54
 
11.0%
노 53
 
10.8%
연 50
 
10.2%
습 48
 
9.8%
장 48
 
9.8%
코 12
 
2.4%
인 10
 
2.0%
스 8
 
1.6%
마 6
 
1.2%
니 5
 
1.0%
Other values (113) 197
40.1%
ASCII
ValueCountFrequency (%)
18
22.2%
O 10
 
12.3%
P 9
 
11.1%
K 4
 
4.9%
2 3
 
3.7%
T 3
 
3.7%
L 2
 
2.5%
A 2
 
2.5%
R 2
 
2.5%
G 2
 
2.5%
Other values (17) 26
32.1%

영업소지번소재지
Text

Distinct78
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-12T21:54:52.710030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length29.065934
Min length22

Characters and Unicode

Total characters2645
Distinct characters97
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

Unique65 ?
Unique (%)71.4%

Sample

1st row서울특별시 용산구 한강대로 55 (한강로3가)
2nd row서울특별시 용산구 한강대로 280-1, 2층 (남영동)
3rd row서울특별시 용산구 보광로24길 12 (보광동, 보광회관)
4th row서울특별시 용산구 청파로 391 (서계동)
5th row서울특별시 용산구 한강대로15길 9 (한강로3가)
ValueCountFrequency (%)
서울특별시 91
 
17.5%
용산구 91
 
17.5%
2층 15
 
2.9%
지층 14
 
2.7%
한강대로 13
 
2.5%
이태원동 12
 
2.3%
한남동 10
 
1.9%
3층 9
 
1.7%
남영동 8
 
1.5%
보광동 6
 
1.2%
Other values (141) 252
48.4%
2023-12-12T21:54:53.205159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
430
 
16.3%
로 117
 
4.4%
용 97
 
3.7%
서 95
 
3.6%
산 94
 
3.6%
시 91
 
3.4%
울 91
 
3.4%
특 91
 
3.4%
구 91
 
3.4%
) 91
 
3.4%
Other values (87) 1357
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1572
59.4%
Space Separator 430
 
16.3%
Decimal Number 385
 
14.6%
Close Punctuation 91
 
3.4%
Open Punctuation 91
 
3.4%
Other Punctuation 62
 
2.3%
Dash Punctuation 10
 
0.4%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 117
 
7.4%
용 97
 
6.2%
서 95
 
6.0%
산 94
 
6.0%
시 91
 
5.8%
울 91
 
5.8%
특 91
 
5.8%
구 91
 
5.8%
별 91
 
5.8%
동 67
 
4.3%
Other values (70) 647
41.2%
Decimal Number
ValueCountFrequency (%)
2 84
21.8%
1 80
20.8%
3 60
15.6%
4 35
9.1%
7 28
 
7.3%
5 21
 
5.5%
6 21
 
5.5%
0 19
 
4.9%
8 19
 
4.9%
9 18
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
L 2
50.0%
G 2
50.0%
Space Separator
ValueCountFrequency (%)
430
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Other Punctuation
ValueCountFrequency (%)
, 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1572
59.4%
Common 1069
40.4%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 117
 
7.4%
용 97
 
6.2%
서 95
 
6.0%
산 94
 
6.0%
시 91
 
5.8%
울 91
 
5.8%
특 91
 
5.8%
구 91
 
5.8%
별 91
 
5.8%
동 67
 
4.3%
Other values (70) 647
41.2%
Common
ValueCountFrequency (%)
430
40.2%
) 91
 
8.5%
( 91
 
8.5%
2 84
 
7.9%
1 80
 
7.5%
, 62
 
5.8%
3 60
 
5.6%
4 35
 
3.3%
7 28
 
2.6%
5 21
 
2.0%
Other values (5) 87
 
8.1%
Latin
ValueCountFrequency (%)
L 2
50.0%
G 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1572
59.4%
ASCII 1073
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
430
40.1%
) 91
 
8.5%
( 91
 
8.5%
2 84
 
7.8%
1 80
 
7.5%
, 62
 
5.8%
3 60
 
5.6%
4 35
 
3.3%
7 28
 
2.6%
5 21
 
2.0%
Other values (7) 91
 
8.5%
Hangul
ValueCountFrequency (%)
로 117
 
7.4%
용 97
 
6.2%
서 95
 
6.0%
산 94
 
6.0%
시 91
 
5.8%
울 91
 
5.8%
특 91
 
5.8%
구 91
 
5.8%
별 91
 
5.8%
동 67
 
4.3%
Other values (70) 647
41.2%

전화번호
Text

MISSING 

Distinct46
Distinct (%)83.6%
Missing36
Missing (%)39.6%
Memory size860.0 B
2023-12-12T21:54:53.488483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.127273
Min length11

Characters and Unicode

Total characters612
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

Unique37 ?
Unique (%)67.3%

Sample

1st row02-797-0664
2nd row02-713-2727
3rd row02-707-0999
4th row02-755-2305
5th row02-796-3312
ValueCountFrequency (%)
02-794-4984 2
 
3.6%
02-790-4900 2
 
3.6%
070-4240-8606 2
 
3.6%
02-3785-0045 2
 
3.6%
02-798-5860 2
 
3.6%
02-774-0995 2
 
3.6%
02-790-7989 2
 
3.6%
02-706-6551 2
 
3.6%
02-749-5858 2
 
3.6%
02-793-5874 1
 
1.8%
Other values (36) 36
65.5%
2023-12-12T21:54:53.981682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 110
18.0%
0 104
17.0%
2 82
13.4%
7 81
13.2%
9 54
8.8%
4 43
 
7.0%
5 37
 
6.0%
1 28
 
4.6%
8 26
 
4.2%
6 24
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 502
82.0%
Dash Punctuation 110
 
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 104
20.7%
2 82
16.3%
7 81
16.1%
9 54
10.8%
4 43
8.6%
5 37
 
7.4%
1 28
 
5.6%
8 26
 
5.2%
6 24
 
4.8%
3 23
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 110
18.0%
0 104
17.0%
2 82
13.4%
7 81
13.2%
9 54
8.8%
4 43
 
7.0%
5 37
 
6.0%
1 28
 
4.6%
8 26
 
4.2%
6 24
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 110
18.0%
0 104
17.0%
2 82
13.4%
7 81
13.2%
9 54
8.8%
4 43
 
7.0%
5 37
 
6.0%
1 28
 
4.6%
8 26
 
4.2%
6 24
 
3.9%

Interactions

2023-12-12T21:54:50.608304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:54:54.090240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명영업소지번소재지전화번호
연번1.0000.0000.0000.000
상호명0.0001.0001.0001.000
영업소지번소재지0.0001.0001.0001.000
전화번호0.0001.0001.0001.000

Missing values

2023-12-12T21:54:51.032216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:54:51.126442image/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

연번업종상호명영업소지번소재지전화번호
01노래연습장업필서울특별시 용산구 한강대로 55 (한강로3가)02-797-0664
12노래연습장업필하모니서울특별시 용산구 한강대로 280-1, 2층 (남영동)<NA>
23노래연습장업신바람서울특별시 용산구 보광로24길 12 (보광동, 보광회관)<NA>
34노래연습장업드림21서울특별시 용산구 청파로 391 (서계동)02-713-2727
45노래연습장업용산서울특별시 용산구 한강대로15길 9 (한강로3가)<NA>
56노래연습장업신세계서울특별시 용산구 새창로 119 (용문동)02-707-0999
67노래연습장업무지개서울특별시 용산구 후암로 35-1 (후암동)02-755-2305
78노래연습장업오디션서울특별시 용산구 보광로 51 (보광동)02-796-3312
89노래연습장업올인노래연습장서울특별시 용산구 한강대로 282, 지층 (남영동, 신한은행)<NA>
910노래연습장업연출서울특별시 용산구 한강대로104길 80 (후암동)02-774-4487
연번업종상호명영업소지번소재지전화번호
8182노래연습장업스타코인노래연습장서울특별시 용산구 한강대로77길 12, 지하1층 (갈월동, 국제전산빌딩)<NA>
8283노래연습장업테마노래연습장서울특별시 용산구 청파로67길 3, 1층 (청파동1가)<NA>
8384노래연습장업Joyking동전노래연습장서울특별시 용산구 청파로47길 49, 3층 (청파동3가, 캠퍼스프라자)<NA>
8485노래연습장업TOP코인 노래연습장서울특별시 용산구 청파로47길 67, 지1층 (청파동2가)<NA>
8586노래연습장업적셔서울특별시 용산구 이태원로 176, 3층 (이태원동)<NA>
8687노래연습장업황금서울특별시 용산구 한강대로84길 4 (남영동)<NA>
8788노래연습장업K-POP서울특별시 용산구 녹사평대로54길 6, 지1층 (이태원동)<NA>
8889노래연습장업KPOPSTAR 코인노래연습장서울특별시 용산구 한강대로 287-1, 2층 (갈월동)<NA>
8990노래연습장업제일노래연습장서울특별시 용산구 이태원로 223, 지1층 (한남동)<NA>
9091노래연습장업숙대테마노래연습장서울특별시 용산구 한강대로 276, 2층 (남영동)<NA>