Overview

Dataset statistics

Number of variables7
Number of observations85
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory60.6 B

Variable types

Text2
DateTime1
Numeric3
Categorical1

Dataset

Description제주특별자치도 서귀포시 관내 노래연습장에 관한 데이터로 상호명, 소재지, 시설면적, 위도, 경도 정보를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/15056126/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:16:44.964352
Analysis finished2023-12-12 04:16:46.401831
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

Distinct84
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T13:16:46.627532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length9.4588235
Min length6

Characters and Unicode

Total characters804
Distinct characters179
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

Unique83 ?
Unique (%)97.6%

Sample

1st row녹원 노래연습장
2nd row명랑 노래연습장
3rd row중문팡팡노래연습장
4th row팔도 노래연습장
5th row진영노래연습장
ValueCountFrequency (%)
노래연습장 35
 
24.6%
코인노래연습장 8
 
5.6%
k팝스타 3
 
2.1%
에이블pc&코인 2
 
1.4%
럭셔리노래연습장 1
 
0.7%
코인 1
 
0.7%
보가 1
 
0.7%
부르네 1
 
0.7%
아리랑노래연습장 1
 
0.7%
노래연습장(3호점 1
 
0.7%
Other values (88) 88
62.0%
2023-12-12T13:16:47.098613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 86
 
10.7%
래 85
 
10.6%
장 82
 
10.2%
연 81
 
10.1%
습 81
 
10.1%
57
 
7.1%
코 14
 
1.7%
리 13
 
1.6%
인 11
 
1.4%
스 9
 
1.1%
Other values (169) 285
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 706
87.8%
Space Separator 57
 
7.1%
Uppercase Letter 22
 
2.7%
Decimal Number 10
 
1.2%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%
Other Punctuation 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 86
 
12.2%
래 85
 
12.0%
장 82
 
11.6%
연 81
 
11.5%
습 81
 
11.5%
코 14
 
2.0%
리 13
 
1.8%
인 11
 
1.6%
스 9
 
1.3%
방 5
 
0.7%
Other values (145) 239
33.9%
Uppercase Letter
ValueCountFrequency (%)
C 3
13.6%
U 2
9.1%
L 2
9.1%
K 2
9.1%
Y 2
9.1%
M 2
9.1%
P 2
9.1%
R 1
 
4.5%
D 1
 
4.5%
N 1
 
4.5%
Other values (4) 4
18.2%
Decimal Number
ValueCountFrequency (%)
2 3
30.0%
1 2
20.0%
0 2
20.0%
4 2
20.0%
3 1
 
10.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 706
87.8%
Common 75
 
9.3%
Latin 23
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 86
 
12.2%
래 85
 
12.0%
장 82
 
11.6%
연 81
 
11.5%
습 81
 
11.5%
코 14
 
2.0%
리 13
 
1.8%
인 11
 
1.6%
스 9
 
1.3%
방 5
 
0.7%
Other values (145) 239
33.9%
Latin
ValueCountFrequency (%)
C 3
13.0%
U 2
 
8.7%
L 2
 
8.7%
K 2
 
8.7%
Y 2
 
8.7%
M 2
 
8.7%
P 2
 
8.7%
k 1
 
4.3%
R 1
 
4.3%
D 1
 
4.3%
Other values (5) 5
21.7%
Common
ValueCountFrequency (%)
57
76.0%
( 3
 
4.0%
2 3
 
4.0%
) 3
 
4.0%
1 2
 
2.7%
0 2
 
2.7%
4 2
 
2.7%
& 2
 
2.7%
3 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 706
87.8%
ASCII 98
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 86
 
12.2%
래 85
 
12.0%
장 82
 
11.6%
연 81
 
11.5%
습 81
 
11.5%
코 14
 
2.0%
리 13
 
1.8%
인 11
 
1.6%
스 9
 
1.3%
방 5
 
0.7%
Other values (145) 239
33.9%
ASCII
ValueCountFrequency (%)
57
58.2%
( 3
 
3.1%
2 3
 
3.1%
) 3
 
3.1%
C 3
 
3.1%
U 2
 
2.0%
L 2
 
2.0%
K 2
 
2.0%
Y 2
 
2.0%
1 2
 
2.0%
Other values (14) 19
 
19.4%

소재지
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T13:16:47.451609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length29.282353
Min length21

Characters and Unicode

Total characters2489
Distinct characters120
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 서귀포시 중정로61번길 1 (서귀동)
2nd row제주특별자치도 서귀포시 명동로 7 (서귀동)
3rd row제주특별자치도 서귀포시 천제연로185번길 3-1 지하1층 (중문동)
4th row제주특별자치도 서귀포시 중앙로48번길 3-3 (서귀동)
5th row제주특별자치도 서귀포시 안덕면 화순로 123
ValueCountFrequency (%)
제주특별자치도 85
18.5%
서귀포시 85
18.5%
서귀동 29
 
6.3%
2층 11
 
2.4%
성산읍 8
 
1.7%
동홍동 7
 
1.5%
안덕면 6
 
1.3%
대정읍 6
 
1.3%
중문동 6
 
1.3%
법환동 5
 
1.1%
Other values (160) 211
46.0%
2023-12-12T13:16:47.917966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
374
 
15.0%
서 122
 
4.9%
귀 116
 
4.7%
제 91
 
3.7%
동 89
 
3.6%
주 89
 
3.6%
도 87
 
3.5%
시 86
 
3.5%
로 86
 
3.5%
치 85
 
3.4%
Other values (110) 1264
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1660
66.7%
Space Separator 374
 
15.0%
Decimal Number 320
 
12.9%
Open Punctuation 59
 
2.4%
Close Punctuation 59
 
2.4%
Dash Punctuation 16
 
0.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 122
 
7.3%
귀 116
 
7.0%
제 91
 
5.5%
동 89
 
5.4%
주 89
 
5.4%
도 87
 
5.2%
시 86
 
5.2%
로 86
 
5.2%
치 85
 
5.1%
자 85
 
5.1%
Other values (95) 724
43.6%
Decimal Number
ValueCountFrequency (%)
2 58
18.1%
1 58
18.1%
3 38
11.9%
5 32
10.0%
4 30
9.4%
7 26
8.1%
0 21
 
6.6%
8 21
 
6.6%
6 19
 
5.9%
9 17
 
5.3%
Space Separator
ValueCountFrequency (%)
374
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1660
66.7%
Common 829
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 122
 
7.3%
귀 116
 
7.0%
제 91
 
5.5%
동 89
 
5.4%
주 89
 
5.4%
도 87
 
5.2%
시 86
 
5.2%
로 86
 
5.2%
치 85
 
5.1%
자 85
 
5.1%
Other values (95) 724
43.6%
Common
ValueCountFrequency (%)
374
45.1%
( 59
 
7.1%
) 59
 
7.1%
2 58
 
7.0%
1 58
 
7.0%
3 38
 
4.6%
5 32
 
3.9%
4 30
 
3.6%
7 26
 
3.1%
0 21
 
2.5%
Other values (5) 74
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1660
66.7%
ASCII 829
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
374
45.1%
( 59
 
7.1%
) 59
 
7.1%
2 58
 
7.0%
1 58
 
7.0%
3 38
 
4.6%
5 32
 
3.9%
4 30
 
3.6%
7 26
 
3.1%
0 21
 
2.5%
Other values (5) 74
 
8.9%
Hangul
ValueCountFrequency (%)
서 122
 
7.3%
귀 116
 
7.0%
제 91
 
5.5%
동 89
 
5.4%
주 89
 
5.4%
도 87
 
5.2%
시 86
 
5.2%
로 86
 
5.2%
치 85
 
5.1%
자 85
 
5.1%
Other values (95) 724
43.6%

등록(신고)일자
Date

Distinct83
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum1993-01-06 00:00:00
Maximum2022-08-24 00:00:00
2023-12-12T13:16:48.075648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:16:48.488159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시설면적(제곱미터)
Real number (ℝ)

Distinct84
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.03647
Minimum5.44
Maximum368.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T13:16:48.626277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.44
5-th percentile66.816
Q1122.3
median150
Q3180.49
95-th percentile259.386
Maximum368.03
Range362.59
Interquartile range (IQR)58.19

Descriptive statistics

Standard deviation62.879493
Coefficient of variation (CV)0.39787963
Kurtosis2.6979678
Mean158.03647
Median Absolute Deviation (MAD)29.11
Skewness1.0338307
Sum13433.1
Variance3953.8306
MonotonicityNot monotonic
2023-12-12T13:16:48.852546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
368.03 2
 
2.4%
259.84 1
 
1.2%
188.83 1
 
1.2%
182.76 1
 
1.2%
154.63 1
 
1.2%
180.49 1
 
1.2%
252.07 1
 
1.2%
136.85 1
 
1.2%
117.66 1
 
1.2%
121.5 1
 
1.2%
Other values (74) 74
87.1%
ValueCountFrequency (%)
5.44 1
1.2%
26.2 1
1.2%
62.56 1
1.2%
64.86 1
1.2%
65.61 1
1.2%
71.64 1
1.2%
85.0 1
1.2%
92.4 1
1.2%
98.83 1
1.2%
99.54 1
1.2%
ValueCountFrequency (%)
368.03 2
2.4%
339.57 1
1.2%
303.0 1
1.2%
259.84 1
1.2%
257.57 1
1.2%
252.07 1
1.2%
241.81 1
1.2%
233.61 1
1.2%
224.31 1
1.2%
223.41 1
1.2%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct83
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.273893
Minimum33.219714
Maximum33.460298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T13:16:48.994274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.219714
5-th percentile33.22723
Q133.247452
median33.251503
Q333.264331
95-th percentile33.44776
Maximum33.460298
Range0.2405837
Interquartile range (IQR)0.01687893

Descriptive statistics

Standard deviation0.058685994
Coefficient of variation (CV)0.0017637249
Kurtosis4.3651891
Mean33.273893
Median Absolute Deviation (MAD)0.00448211
Skewness2.3001576
Sum2828.2809
Variance0.0034440459
MonotonicityNot monotonic
2023-12-12T13:16:49.167486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.24695183 2
 
2.4%
33.25150321 2
 
2.4%
33.27365548 1
 
1.2%
33.27881073 1
 
1.2%
33.24490071 1
 
1.2%
33.26433139 1
 
1.2%
33.255913 1
 
1.2%
33.2550237 1
 
1.2%
33.27989229 1
 
1.2%
33.22555184 1
 
1.2%
Other values (73) 73
85.9%
ValueCountFrequency (%)
33.21971402 1
1.2%
33.2221482 1
1.2%
33.22296736 1
1.2%
33.22555184 1
1.2%
33.22561976 1
1.2%
33.23367307 1
1.2%
33.23466389 1
1.2%
33.23799761 1
1.2%
33.24238112 1
1.2%
33.24388312 1
1.2%
ValueCountFrequency (%)
33.46029772 1
1.2%
33.45022208 1
1.2%
33.44985816 1
1.2%
33.44975121 1
1.2%
33.4478826 1
1.2%
33.44726893 1
1.2%
33.44657984 1
1.2%
33.34779934 1
1.2%
33.33834112 1
1.2%
33.32624047 1
1.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct83
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.5588
Minimum126.24857
Maximum126.92945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T13:16:49.347366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.24857
5-th percentile126.26162
Q1126.48892
median126.56186
Q3126.57173
95-th percentile126.91382
Maximum126.92945
Range0.6808836
Interquartile range (IQR)0.0828086

Descriptive statistics

Standard deviation0.17405086
Coefficient of variation (CV)0.0013752569
Kurtosis0.037651725
Mean126.5588
Median Absolute Deviation (MAD)0.0530077
Skewness0.4246733
Sum10757.498
Variance0.030293703
MonotonicityNot monotonic
2023-12-12T13:16:49.554788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.5633971 2
 
2.4%
126.4260671 2
 
2.4%
126.7027548 1
 
1.2%
126.7173418 1
 
1.2%
126.3056709 1
 
1.2%
126.5584121 1
 
1.2%
126.5750872 1
 
1.2%
126.5714423 1
 
1.2%
126.7190543 1
 
1.2%
126.252752 1
 
1.2%
Other values (73) 73
85.9%
ValueCountFrequency (%)
126.2485668 1
1.2%
126.252752 1
1.2%
126.2536992 1
1.2%
126.2537376 1
1.2%
126.2574695 1
1.2%
126.2782417 1
1.2%
126.3017864 1
1.2%
126.3037268 1
1.2%
126.3056709 1
1.2%
126.3163537 1
1.2%
ValueCountFrequency (%)
126.9294504 1
1.2%
126.9181667 1
1.2%
126.9159863 1
1.2%
126.9144084 1
1.2%
126.9141776 1
1.2%
126.9123887 1
1.2%
126.9117993 1
1.2%
126.8535413 1
1.2%
126.8439794 1
1.2%
126.8344559 1
1.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-09-27
85 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-27
2nd row2023-09-27
3rd row2023-09-27
4th row2023-09-27
5th row2023-09-27

Common Values

ValueCountFrequency (%)
2023-09-27 85
100.0%

Length

2023-12-12T13:16:49.724745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:16:49.827530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-27 85
100.0%

Interactions

2023-12-12T13:16:45.870657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:16:45.322917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:16:45.591532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:16:45.975140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:16:45.409010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:16:45.682593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:16:46.058621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:16:45.498859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:16:45.774969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:16:49.915782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호명소재지등록(신고)일자시설면적(제곱미터)위도경도
상호명1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
등록(신고)일자1.0001.0001.0000.9890.9760.983
시설면적(제곱미터)1.0001.0000.9891.0000.3540.238
위도1.0001.0000.9760.3541.0000.852
경도1.0001.0000.9830.2380.8521.000
2023-12-12T13:16:50.022221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설면적(제곱미터)위도경도
시설면적(제곱미터)1.000-0.0620.064
위도-0.0621.0000.579
경도0.0640.5791.000

Missing values

2023-12-12T13:16:46.221456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:16:46.353176image/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

상호명소재지등록(신고)일자시설면적(제곱미터)위도경도데이터기준일자
0녹원 노래연습장제주특별자치도 서귀포시 중정로61번길 1 (서귀동)1993-01-06259.8433.248036126.56282023-09-27
1명랑 노래연습장제주특별자치도 서귀포시 명동로 7 (서귀동)1993-04-0898.8333.247142126.5627182023-09-27
2중문팡팡노래연습장제주특별자치도 서귀포시 천제연로185번길 3-1 지하1층 (중문동)1993-05-14223.4133.252192126.4242412023-09-27
3팔도 노래연습장제주특별자치도 서귀포시 중앙로48번길 3-3 (서귀동)1993-06-22163.8533.249244126.5619972023-09-27
4진영노래연습장제주특별자치도 서귀포시 안덕면 화순로 1231993-07-28150.033.246155126.3331472023-09-27
5광장 노래연습장제주특별자치도 서귀포시 중앙로79번길 4 (서귀동)1993-09-21149.4933.251745126.5607652023-09-27
6한솔노래연습장제주특별자치도 서귀포시 표선면 표선동서로 2521993-10-02139.033.32624126.8331162023-09-27
7소림 노래연습장제주특별자치도 서귀포시 태평로 520 (동홍동)1994-02-08164.7433.250876126.5729692023-09-27
8동원 노래연습장제주특별자치도 서귀포시 이어도로 925 (법환동)1994-03-02159.9833.237998126.5133742023-09-27
9동아리 노래연습장제주특별자치도 서귀포시 중앙로47번길 6 동아리노래연습장 2층 (서귀동)1994-03-26166.3733.248809126.5610272023-09-27
상호명소재지등록(신고)일자시설면적(제곱미터)위도경도데이터기준일자
75고향노래연습장제주특별자치도 서귀포시 성산읍 신천동로13번길 27 1층2020-02-2064.8633.347799126.8535412023-09-27
76K팝스타 코인노래연습장 신서귀포점제주특별자치도 서귀포시 김정문화로41번길 5-2 4층 404호 (법환동)2020-03-25120.4333.25209126.5088542023-09-27
77클럽런더리(CLUB LAUNDRY) 노래연습장제주특별자치도 서귀포시 성산읍 동류암로 20 1층2020-05-155.4433.449858126.9181672023-09-27
78아이존팝 코인노래연습장 액트몬 중문점제주특별자치도 서귀포시 중문관광로 205 코시롱타운 지하1층 (중문동)2020-07-29115.833.243883126.4216652023-09-27
79팬클럽노래연습장제주특별자치도 서귀포시 남원읍 태위로689번길 10 2층2020-09-07168.7233.280335126.7200462023-09-27
80월드컵노래방제주특별자치도 서귀포시 월드컵로45번길 40 폴에이리조트제주 지하층 (법환동)2020-11-10112.033.244623126.5117392023-09-27
81에이블PC&코인제주특별자치도 서귀포시 천제연로 2002021-10-01368.0333.251503126.4260672023-09-27
82에이블PC&코인제주특별자치도 서귀포시 천제연로 200 4층 (중문동)2021-10-01368.0333.251503126.4260672023-09-27
83표선 사계절노래연습장제주특별자치도 서귀포시 표선면 표선동서로 238 2층2021-11-2665.6133.325063126.8324982023-09-27
84사계클라쓰 노래연습장제주특별자치도 서귀포시 안덕면 사계로114번길 53-232022-08-24165.6133.243901126.3037272023-09-27