Overview

Dataset statistics

Number of variables6
Number of observations234
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.3 KiB
Average record size in memory49.6 B

Variable types

Categorical1
DateTime2
Text2
Numeric1

Dataset

Description제주특별자치도 제주시 관내에 소재하고 있는 노래연습장 관련 현황 데이터를 제공합니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15056296/fileData.do

Alerts

업종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:50:52.645257
Analysis finished2023-12-12 06:50:53.259467
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
노래연습장업
234 

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 234
100.0%

Length

2023-12-12T15:50:53.336029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:50:53.468346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 234
100.0%
Distinct221
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum1993-06-14 00:00:00
Maximum2021-06-01 00:00:00
2023-12-12T15:50:53.597221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:50:53.775651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상호명
Text

UNIQUE 

Distinct234
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T15:50:54.146599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length7.4059829
Min length1

Characters and Unicode

Total characters1733
Distinct characters281
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique234 ?
Unique (%)100.0%

Sample

1st row연인
2nd row안성 노래연습장
3rd row현대
4th row에코노래연습장
5th row들장미
ValueCountFrequency (%)
노래연습장 79
 
22.9%
코인 10
 
2.9%
미니k 3
 
0.9%
코인노래연습장 2
 
0.6%
락휴 2
 
0.6%
오아시스 2
 
0.6%
세븐스타코인 2
 
0.6%
노래연습장(연동점 2
 
0.6%
힐링 2
 
0.6%
상아 1
 
0.3%
Other values (240) 240
69.6%
2023-12-12T15:50:54.670908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
173
 
10.0%
172
 
9.9%
169
 
9.8%
167
 
9.6%
166
 
9.6%
114
 
6.6%
29
 
1.7%
27
 
1.6%
20
 
1.2%
15
 
0.9%
Other values (271) 681
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1527
88.1%
Space Separator 114
 
6.6%
Uppercase Letter 35
 
2.0%
Close Punctuation 14
 
0.8%
Open Punctuation 14
 
0.8%
Lowercase Letter 12
 
0.7%
Decimal Number 7
 
0.4%
Other Punctuation 6
 
0.3%
Letter Number 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
173
 
11.3%
172
 
11.3%
169
 
11.1%
167
 
10.9%
166
 
10.9%
29
 
1.9%
27
 
1.8%
20
 
1.3%
15
 
1.0%
14
 
0.9%
Other values (239) 575
37.7%
Uppercase Letter
ValueCountFrequency (%)
B 10
28.6%
K 6
17.1%
O 3
 
8.6%
P 2
 
5.7%
J 2
 
5.7%
I 2
 
5.7%
M 2
 
5.7%
C 2
 
5.7%
Y 1
 
2.9%
R 1
 
2.9%
Other values (4) 4
 
11.4%
Lowercase Letter
ValueCountFrequency (%)
o 3
25.0%
k 2
16.7%
p 2
16.7%
a 2
16.7%
u 1
 
8.3%
r 1
 
8.3%
e 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
7 2
28.6%
1 1
 
14.3%
4 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
& 4
66.7%
. 2
33.3%
Space Separator
ValueCountFrequency (%)
114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Letter Number
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1527
88.1%
Common 156
 
9.0%
Latin 50
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
173
 
11.3%
172
 
11.3%
169
 
11.1%
167
 
10.9%
166
 
10.9%
29
 
1.9%
27
 
1.8%
20
 
1.3%
15
 
1.0%
14
 
0.9%
Other values (239) 575
37.7%
Latin
ValueCountFrequency (%)
B 10
20.0%
K 6
 
12.0%
3
 
6.0%
O 3
 
6.0%
o 3
 
6.0%
k 2
 
4.0%
P 2
 
4.0%
p 2
 
4.0%
a 2
 
4.0%
J 2
 
4.0%
Other values (12) 15
30.0%
Common
ValueCountFrequency (%)
114
73.1%
) 14
 
9.0%
( 14
 
9.0%
& 4
 
2.6%
2 3
 
1.9%
7 2
 
1.3%
. 2
 
1.3%
- 1
 
0.6%
1 1
 
0.6%
4 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1527
88.1%
ASCII 203
 
11.7%
Number Forms 3
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
173
 
11.3%
172
 
11.3%
169
 
11.1%
167
 
10.9%
166
 
10.9%
29
 
1.9%
27
 
1.8%
20
 
1.3%
15
 
1.0%
14
 
0.9%
Other values (239) 575
37.7%
ASCII
ValueCountFrequency (%)
114
56.2%
) 14
 
6.9%
( 14
 
6.9%
B 10
 
4.9%
K 6
 
3.0%
& 4
 
2.0%
O 3
 
1.5%
o 3
 
1.5%
2 3
 
1.5%
k 2
 
1.0%
Other values (21) 30
 
14.8%
Number Forms
ValueCountFrequency (%)
3
100.0%

우편번호
Real number (ℝ)

Distinct106
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63178.449
Minimum63008
Maximum63361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T15:50:54.882275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63008
5-th percentile63034
Q163123
median63185.5
Q363253.75
95-th percentile63323
Maximum63361
Range353
Interquartile range (IQR)130.75

Descriptive statistics

Standard deviation86.559114
Coefficient of variation (CV)0.0013700734
Kurtosis-0.7770815
Mean63178.449
Median Absolute Deviation (MAD)65.5
Skewness0.063438324
Sum14783757
Variance7492.4802
MonotonicityNot monotonic
2023-12-12T15:50:55.400538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63207 19
 
8.1%
63123 9
 
3.8%
63125 8
 
3.4%
63277 8
 
3.4%
63070 7
 
3.0%
63333 6
 
2.6%
63323 5
 
2.1%
63097 5
 
2.1%
63156 4
 
1.7%
63275 4
 
1.7%
Other values (96) 159
67.9%
ValueCountFrequency (%)
63008 1
 
0.4%
63010 2
0.9%
63011 2
0.9%
63026 1
 
0.4%
63031 1
 
0.4%
63032 4
1.7%
63034 2
0.9%
63043 4
1.7%
63046 1
 
0.4%
63050 2
0.9%
ValueCountFrequency (%)
63361 3
1.3%
63357 1
 
0.4%
63339 1
 
0.4%
63333 6
2.6%
63323 5
2.1%
63319 2
 
0.9%
63313 1
 
0.4%
63302 2
 
0.9%
63292 1
 
0.4%
63291 1
 
0.4%
Distinct230
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T15:50:55.864181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length20.115385
Min length17

Characters and Unicode

Total characters4707
Distinct characters111
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)96.6%

Sample

1st row제주특별자치도 제주시 원노형로 25
2nd row제주특별자치도 제주시 동문로10길 6
3rd row제주특별자치도 제주시 삼무로11길 36
4th row제주특별자치도 제주시 신대로16길 50
5th row제주특별자치도 제주시 중앙로14길 28
ValueCountFrequency (%)
제주특별자치도 234
24.1%
제주시 234
24.1%
중앙로 13
 
1.3%
애월읍 12
 
1.2%
5 10
 
1.0%
한림읍 10
 
1.0%
서광로 9
 
0.9%
신성로13길 9
 
0.9%
고마로 8
 
0.8%
3 8
 
0.8%
Other values (274) 423
43.6%
2023-12-12T15:50:56.412893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
739
15.7%
480
 
10.2%
470
 
10.0%
239
 
5.1%
234
 
5.0%
234
 
5.0%
234
 
5.0%
234
 
5.0%
234
 
5.0%
194
 
4.1%
Other values (101) 1415
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3250
69.0%
Space Separator 739
 
15.7%
Decimal Number 680
 
14.4%
Dash Punctuation 38
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
480
14.8%
470
14.5%
239
7.4%
234
 
7.2%
234
 
7.2%
234
 
7.2%
234
 
7.2%
234
 
7.2%
194
 
6.0%
111
 
3.4%
Other values (89) 586
18.0%
Decimal Number
ValueCountFrequency (%)
1 173
25.4%
3 87
12.8%
2 77
11.3%
4 76
11.2%
6 60
 
8.8%
5 49
 
7.2%
0 46
 
6.8%
7 40
 
5.9%
8 39
 
5.7%
9 33
 
4.9%
Space Separator
ValueCountFrequency (%)
739
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3250
69.0%
Common 1457
31.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
480
14.8%
470
14.5%
239
7.4%
234
 
7.2%
234
 
7.2%
234
 
7.2%
234
 
7.2%
234
 
7.2%
194
 
6.0%
111
 
3.4%
Other values (89) 586
18.0%
Common
ValueCountFrequency (%)
739
50.7%
1 173
 
11.9%
3 87
 
6.0%
2 77
 
5.3%
4 76
 
5.2%
6 60
 
4.1%
5 49
 
3.4%
0 46
 
3.2%
7 40
 
2.7%
8 39
 
2.7%
Other values (2) 71
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3250
69.0%
ASCII 1457
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
739
50.7%
1 173
 
11.9%
3 87
 
6.0%
2 77
 
5.3%
4 76
 
5.2%
6 60
 
4.1%
5 49
 
3.4%
0 46
 
3.2%
7 40
 
2.7%
8 39
 
2.7%
Other values (2) 71
 
4.9%
Hangul
ValueCountFrequency (%)
480
14.8%
470
14.5%
239
7.4%
234
 
7.2%
234
 
7.2%
234
 
7.2%
234
 
7.2%
234
 
7.2%
194
 
6.0%
111
 
3.4%
Other values (89) 586
18.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2021-08-13 00:00:00
Maximum2021-08-13 00:00:00
2023-12-12T15:50:56.566529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:50:56.684819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:50:52.937973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T15:50:53.068577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:50:53.206280image/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

업종등록일상호명우편번호소재지데이터기준일자
0노래연습장업1993-06-14연인63081제주특별자치도 제주시 원노형로 252021-08-13
1노래연습장업1993-10-16안성 노래연습장63264제주특별자치도 제주시 동문로10길 62021-08-13
2노래연습장업1993-10-26현대63125제주특별자치도 제주시 삼무로11길 362021-08-13
3노래연습장업1993-12-21에코노래연습장63123제주특별자치도 제주시 신대로16길 502021-08-13
4노래연습장업1993-12-28들장미63168제주특별자치도 제주시 중앙로14길 282021-08-13
5노래연습장업1994-09-23테디노래연습장63207제주특별자치도 제주시 신성로13길 15-12021-08-13
6노래연습장업1994-03-14영상세계63289제주특별자치도 제주시 진남로6길 162021-08-13
7노래연습장업1994-04-19금빛63187제주특별자치도 제주시 서광로 2642021-08-13
8노래연습장업1994-09-07중앙로등대63192제주특별자치도 제주시 중앙로13길 1-12021-08-13
9노래연습장업1994-10-0424시63277제주특별자치도 제주시 관덕로11길 182021-08-13
업종등록일상호명우편번호소재지데이터기준일자
224노래연습장업2020-05-28가족오락관(노래연습장)63275제주특별자치도 제주시 고마로 98-12021-08-13
225노래연습장업2020-06-01뮤직코인 노래연습장63123제주특별자치도 제주시 신대로16길 442021-08-13
226노래연습장업2020-06-01숨비소리 노래연습장63043제주특별자치도 제주시 애월읍 애월로 332021-08-13
227노래연습장업2020-06-09게임토피아 (코인 노래연습장)63207제주특별자치도 제주시 서광로 2882021-08-13
228노래연습장업2020-06-30VIP 노래연습장63333제주특별자치도 제주시 조천읍 조함해안로 4962021-08-13
229노래연습장업2020-07-02투씽 코인노래연습장63099제주특별자치도 제주시 월랑로 292021-08-13
230노래연습장업2020-08-18OX 코인 노래연습장 제주연동점63123제주특별자치도 제주시 연동7길 252021-08-13
231노래연습장업2020-08-23목터져 노래연습장63008제주특별자치도 제주시 한경면 칠전로 1332021-08-13
232노래연습장업2021-02-09협재 노래연습장63011제주특별자치도 제주시 한림읍 협재1길 12021-08-13
233노래연습장업2021-06-01미니K 코인 노래연습장(삼화점)63323제주특별자치도 제주시 건주로4길 6-82021-08-13