Overview

Dataset statistics

Number of variables6
Number of observations946
Missing cells338
Missing cells (%)6.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.4 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Descriptionㅇ 주로 주류를 조리ㆍ판매하는 영업으로서 손님이 노래를 부르는 행위가 허용되는 단란주점 업소정보
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15069259

Alerts

업종 has constant value ""Constant
연번 is highly overall correlated with 인허가관할기관High correlation
인허가관할기관 is highly overall correlated with 연번High correlation
업소전화번호 has 338 (35.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:34:00.390841
Analysis finished2023-12-10 23:34:01.158068
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct946
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean473.5
Minimum1
Maximum946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2023-12-11T08:34:01.224108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile48.25
Q1237.25
median473.5
Q3709.75
95-th percentile898.75
Maximum946
Range945
Interquartile range (IQR)472.5

Descriptive statistics

Standard deviation273.23098
Coefficient of variation (CV)0.57704536
Kurtosis-1.2
Mean473.5
Median Absolute Deviation (MAD)236.5
Skewness0
Sum447931
Variance74655.167
MonotonicityStrictly increasing
2023-12-11T08:34:01.377495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
637 1
 
0.1%
625 1
 
0.1%
626 1
 
0.1%
627 1
 
0.1%
628 1
 
0.1%
629 1
 
0.1%
630 1
 
0.1%
631 1
 
0.1%
632 1
 
0.1%
Other values (936) 936
98.9%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
946 1
0.1%
945 1
0.1%
944 1
0.1%
943 1
0.1%
942 1
0.1%
941 1
0.1%
940 1
0.1%
939 1
0.1%
938 1
0.1%
937 1
0.1%

인허가관할기관
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
진주시
117 
창원시 마산합포구
111 
양산시
93 
김해시
91 
창원시 마산회원구
78 
Other values (17)
456 

Length

Max length10
Median length4
Mean length5.7103594
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 거제시
2nd row 거제시
3rd row 거제시
4th row 거제시
5th row 거제시

Common Values

ValueCountFrequency (%)
진주시 117
12.4%
창원시 마산합포구 111
11.7%
양산시 93
9.8%
김해시 91
9.6%
창원시 마산회원구 78
 
8.2%
거제시 61
 
6.4%
창원시 의창구 56
 
5.9%
통영시 51
 
5.4%
사천시 44
 
4.7%
밀양시 42
 
4.4%
Other values (12) 202
21.4%

Length

2023-12-11T08:34:01.522767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 310
24.7%
진주시 117
 
9.3%
마산합포구 111
 
8.8%
양산시 93
 
7.4%
김해시 91
 
7.2%
마산회원구 78
 
6.2%
거제시 61
 
4.9%
의창구 56
 
4.5%
통영시 51
 
4.1%
사천시 44
 
3.5%
Other values (13) 244
19.4%

업소명
Text

Distinct899
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2023-12-11T08:34:01.750183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length5.7463002
Min length1

Characters and Unicode

Total characters5436
Distinct characters541
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique859 ?
Unique (%)90.8%

Sample

1st row586(오팔육)단란주점
2nd row708090라이브
3rd row7080비틀즈
4th row객석
5th row거제호프
ValueCountFrequency (%)
단란주점 48
 
4.6%
가라오케 8
 
0.8%
7080 5
 
0.5%
라이브 5
 
0.5%
노래주점 5
 
0.5%
귀빈단란주점 4
 
0.4%
노래방 4
 
0.4%
현대단란주점 4
 
0.4%
노래하는 3
 
0.3%
빙고 3
 
0.3%
Other values (904) 956
91.5%
2023-12-11T08:34:02.191922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 429
 
7.9%
점 419
 
7.7%
단 374
 
6.9%
란 373
 
6.9%
라 183
 
3.4%
이 136
 
2.5%
노 118
 
2.2%
오 116
 
2.1%
가 113
 
2.1%
래 108
 
2.0%
Other values (531) 3067
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5042
92.8%
Decimal Number 182
 
3.3%
Space Separator 101
 
1.9%
Uppercase Letter 50
 
0.9%
Open Punctuation 18
 
0.3%
Close Punctuation 18
 
0.3%
Lowercase Letter 18
 
0.3%
Other Punctuation 6
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 429
 
8.5%
점 419
 
8.3%
단 374
 
7.4%
란 373
 
7.4%
라 183
 
3.6%
이 136
 
2.7%
노 118
 
2.3%
오 116
 
2.3%
가 113
 
2.2%
래 108
 
2.1%
Other values (479) 2673
53.0%
Uppercase Letter
ValueCountFrequency (%)
B 7
14.0%
A 5
 
10.0%
O 4
 
8.0%
K 3
 
6.0%
I 3
 
6.0%
V 3
 
6.0%
M 3
 
6.0%
D 3
 
6.0%
W 2
 
4.0%
C 2
 
4.0%
Other values (11) 15
30.0%
Lowercase Letter
ValueCountFrequency (%)
i 3
16.7%
p 2
11.1%
l 2
11.1%
o 2
11.1%
r 2
11.1%
n 1
 
5.6%
u 1
 
5.6%
m 1
 
5.6%
h 1
 
5.6%
a 1
 
5.6%
Other values (2) 2
11.1%
Decimal Number
ValueCountFrequency (%)
0 79
43.4%
8 39
21.4%
7 34
18.7%
2 8
 
4.4%
1 8
 
4.4%
9 5
 
2.7%
5 4
 
2.2%
4 3
 
1.6%
6 1
 
0.5%
3 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
& 2
33.3%
! 1
16.7%
？ 1
16.7%
. 1
16.7%
, 1
16.7%
Space Separator
ValueCountFrequency (%)
101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5040
92.7%
Common 326
 
6.0%
Latin 68
 
1.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 429
 
8.5%
점 419
 
8.3%
단 374
 
7.4%
란 373
 
7.4%
라 183
 
3.6%
이 136
 
2.7%
노 118
 
2.3%
오 116
 
2.3%
가 113
 
2.2%
래 108
 
2.1%
Other values (477) 2671
53.0%
Latin
ValueCountFrequency (%)
B 7
 
10.3%
A 5
 
7.4%
O 4
 
5.9%
K 3
 
4.4%
I 3
 
4.4%
V 3
 
4.4%
M 3
 
4.4%
i 3
 
4.4%
D 3
 
4.4%
W 2
 
2.9%
Other values (23) 32
47.1%
Common
ValueCountFrequency (%)
101
31.0%
0 79
24.2%
8 39
 
12.0%
7 34
 
10.4%
( 18
 
5.5%
) 18
 
5.5%
2 8
 
2.5%
1 8
 
2.5%
9 5
 
1.5%
5 4
 
1.2%
Other values (9) 12
 
3.7%
Han
ValueCountFrequency (%)
白 1
50.0%
潮 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5040
92.7%
ASCII 393
 
7.2%
CJK 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 429
 
8.5%
점 419
 
8.3%
단 374
 
7.4%
란 373
 
7.4%
라 183
 
3.6%
이 136
 
2.7%
노 118
 
2.3%
오 116
 
2.3%
가 113
 
2.2%
래 108
 
2.1%
Other values (477) 2671
53.0%
ASCII
ValueCountFrequency (%)
101
25.7%
0 79
20.1%
8 39
 
9.9%
7 34
 
8.7%
( 18
 
4.6%
) 18
 
4.6%
2 8
 
2.0%
1 8
 
2.0%
B 7
 
1.8%
9 5
 
1.3%
Other values (41) 76
19.3%
None
ValueCountFrequency (%)
？ 1
100.0%
CJK
ValueCountFrequency (%)
白 1
50.0%
潮 1
50.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
단란주점
946 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점 946
100.0%

Length

2023-12-11T08:34:02.349578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:34:02.451644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 946
100.0%

업소주소
Text

Distinct937
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2023-12-11T08:34:02.744447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length45
Mean length27.663848
Min length18

Characters and Unicode

Total characters26170
Distinct characters286
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique928 ?
Unique (%)98.1%

Sample

1st row경상남도 거제시 옥포로 246(옥포동)
2nd row경상남도 거제시 아주1로2길 46(2층 아주동)
3rd row경상남도 거제시 고현로9길 14(3층 고현동)
4th row경상남도 거제시 능포로 136-2(지하1층 능포동)
5th row경상남도 거제시 거제면 읍내로 62-1(2층)
ValueCountFrequency (%)
경상남도 946
 
19.5%
창원시 310
 
6.4%
진주시 117
 
2.4%
마산합포구 111
 
2.3%
양산시 93
 
1.9%
김해시 91
 
1.9%
마산회원구 78
 
1.6%
거제시 61
 
1.3%
의창구 56
 
1.2%
통영시 51
 
1.1%
Other values (1645) 2937
60.5%
2023-12-11T08:34:03.300889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3915
 
15.0%
상 1107
 
4.2%
남 1106
 
4.2%
1 988
 
3.8%
도 960
 
3.7%
경 954
 
3.6%
동 847
 
3.2%
시 837
 
3.2%
) 775
 
3.0%
( 775
 
3.0%
Other values (276) 13906
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16142
61.7%
Decimal Number 4008
 
15.3%
Space Separator 3915
 
15.0%
Close Punctuation 775
 
3.0%
Open Punctuation 775
 
3.0%
Other Punctuation 306
 
1.2%
Dash Punctuation 232
 
0.9%
Uppercase Letter 17
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1107
 
6.9%
남 1106
 
6.9%
도 960
 
5.9%
경 954
 
5.9%
동 847
 
5.2%
시 837
 
5.2%
로 646
 
4.0%
길 504
 
3.1%
원 476
 
2.9%
창 466
 
2.9%
Other values (251) 8239
51.0%
Decimal Number
ValueCountFrequency (%)
1 988
24.7%
2 709
17.7%
3 457
11.4%
5 324
 
8.1%
0 306
 
7.6%
4 301
 
7.5%
6 261
 
6.5%
7 251
 
6.3%
8 207
 
5.2%
9 204
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 6
35.3%
A 3
17.6%
C 3
17.6%
S 1
 
5.9%
J 1
 
5.9%
N 1
 
5.9%
P 1
 
5.9%
Y 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 286
93.5%
· 11
 
3.6%
. 9
 
2.9%
Space Separator
ValueCountFrequency (%)
3915
100.0%
Close Punctuation
ValueCountFrequency (%)
) 775
100.0%
Open Punctuation
ValueCountFrequency (%)
( 775
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16142
61.7%
Common 10011
38.3%
Latin 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1107
 
6.9%
남 1106
 
6.9%
도 960
 
5.9%
경 954
 
5.9%
동 847
 
5.2%
시 837
 
5.2%
로 646
 
4.0%
길 504
 
3.1%
원 476
 
2.9%
창 466
 
2.9%
Other values (251) 8239
51.0%
Common
ValueCountFrequency (%)
3915
39.1%
1 988
 
9.9%
) 775
 
7.7%
( 775
 
7.7%
2 709
 
7.1%
3 457
 
4.6%
5 324
 
3.2%
0 306
 
3.1%
4 301
 
3.0%
, 286
 
2.9%
Other values (7) 1175
 
11.7%
Latin
ValueCountFrequency (%)
B 6
35.3%
A 3
17.6%
C 3
17.6%
S 1
 
5.9%
J 1
 
5.9%
N 1
 
5.9%
P 1
 
5.9%
Y 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16142
61.7%
ASCII 10017
38.3%
None 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3915
39.1%
1 988
 
9.9%
) 775
 
7.7%
( 775
 
7.7%
2 709
 
7.1%
3 457
 
4.6%
5 324
 
3.2%
0 306
 
3.1%
4 301
 
3.0%
, 286
 
2.9%
Other values (14) 1181
 
11.8%
Hangul
ValueCountFrequency (%)
상 1107
 
6.9%
남 1106
 
6.9%
도 960
 
5.9%
경 954
 
5.9%
동 847
 
5.2%
시 837
 
5.2%
로 646
 
4.0%
길 504
 
3.1%
원 476
 
2.9%
창 466
 
2.9%
Other values (251) 8239
51.0%
None
ValueCountFrequency (%)
· 11
100.0%

업소전화번호
Text

MISSING 

Distinct605
Distinct (%)99.5%
Missing338
Missing (%)35.7%
Memory size7.5 KiB
2023-12-11T08:34:03.608873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.925987
Min length6

Characters and Unicode

Total characters6643
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique602 ?
Unique (%)99.0%

Sample

1st row055 6877274
2nd row055 632 8182
3rd row055 6323073
4th row055 6884128
5th row055 634 0059
ValueCountFrequency (%)
055 524
38.5%
646 7
 
0.5%
366 6
 
0.4%
746 6
 
0.4%
835 5
 
0.4%
245 5
 
0.4%
649 5
 
0.4%
741 5
 
0.4%
747 5
 
0.4%
759 5
 
0.4%
Other values (712) 789
57.9%
2023-12-11T08:34:04.068414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1565
23.6%
0 841
12.7%
757
11.4%
3 599
 
9.0%
2 509
 
7.7%
7 450
 
6.8%
4 449
 
6.8%
6 429
 
6.5%
8 402
 
6.1%
1 325
 
4.9%
Other values (2) 317
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5856
88.2%
Space Separator 757
 
11.4%
Dash Punctuation 30
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1565
26.7%
0 841
14.4%
3 599
 
10.2%
2 509
 
8.7%
7 450
 
7.7%
4 449
 
7.7%
6 429
 
7.3%
8 402
 
6.9%
1 325
 
5.5%
9 287
 
4.9%
Space Separator
ValueCountFrequency (%)
757
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6643
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1565
23.6%
0 841
12.7%
757
11.4%
3 599
 
9.0%
2 509
 
7.7%
7 450
 
6.8%
4 449
 
6.8%
6 429
 
6.5%
8 402
 
6.1%
1 325
 
4.9%
Other values (2) 317
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6643
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1565
23.6%
0 841
12.7%
757
11.4%
3 599
 
9.0%
2 509
 
7.7%
7 450
 
6.8%
4 449
 
6.8%
6 429
 
6.5%
8 402
 
6.1%
1 325
 
4.9%
Other values (2) 317
 
4.8%

Interactions

2023-12-11T08:34:00.872968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:34:04.160847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관
연번1.0000.981
인허가관할기관0.9811.000
2023-12-11T08:34:04.237606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관
연번1.0000.887
인허가관할기관0.8871.000

Missing values

2023-12-11T08:34:00.998796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:34:01.117857image/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

연번인허가관할기관업소명업종업소주소업소전화번호
01거제시586(오팔육)단란주점단란주점경상남도 거제시 옥포로 246(옥포동)055 6877274
12거제시708090라이브단란주점경상남도 거제시 아주1로2길 46(2층 아주동)<NA>
23거제시7080비틀즈단란주점경상남도 거제시 고현로9길 14(3층 고현동)055 632 8182
34거제시객석단란주점경상남도 거제시 능포로 136-2(지하1층 능포동)<NA>
45거제시거제호프단란주점경상남도 거제시 거제면 읍내로 62-1(2층)055 6323073
56거제시고무신라이브단란주점경상남도 거제시 거제중앙로 1855(2층 고현동)<NA>
67거제시궁전가라오케단란주점경상남도 거제시 옥포대첩로2길 31(옥포동)055 6884128
78거제시꽃되지가라오케단란주점경상남도 거제시 옥포성안로 77(3층 옥포동)<NA>
89거제시노라존 노래타운단란주점경상남도 거제시 고현천로 30(고현동,3층)055 634 0059
910거제시노래하기좋은날팽고팽고단란주점경상남도 거제시 장승포로 17(2층 장승포동)055 681 4199
연번인허가관할기관업소명업종업소주소업소전화번호
936937합천군라스베가스단란주점경상남도 합천군 가야면 가야시장로 69(3층)<NA>
937938합천군모모단란주점단란주점경상남도 합천군 초계면 내동1길 3-2055 934 1045
938939합천군물결소리노래주점단란주점경상남도 합천군 가야면 가야시장로 106055 932 7789
939940합천군박카스단란주점경상남도 합천군 초계면 내동아막길 7-6055 932 2999
940941합천군불꽃 단란주점단란주점경상남도 합천군 삼가면 삼가중앙길 19-1<NA>
941942합천군양지단란주점단란주점경상남도 합천군 합천읍 대야로 807<NA>
942943합천군향명단란주점단란주점경상남도 합천군 합천읍 충효로 71-1055 9341170
943944합천군화정단란주점단란주점경상남도 합천군 합천읍 대야로 889(2층)<NA>
944945합천군황강단란주점단란주점경상남도 합천군 대병면 서부로 1978(지하 1층)055 9311062
945946합천군황매산골단란주점단란주점경상남도 합천군 대병면 회양관광단지길 79-6(2층)055 9337550