Overview

Dataset statistics

Number of variables5
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory43.8 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description경상남도 하동군에 있는 유흥단란주점 현황 (연번, 업종명, 업체명, 소재지(도로명). 전화번호)의 정보를 제공하고 있습니다.
Author경상남도 하동군
URLhttps://www.data.go.kr/data/15086268/fileData.do

Alerts

연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:47:49.157782
Analysis finished2023-12-12 19:47:49.632748
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-13T04:47:49.714605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2023-12-13T04:47:49.903092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

업종명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
유흥주점영업
40 
단란주점

Length

Max length6
Median length6
Mean length5.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유흥주점영업 40
83.3%
단란주점 8
 
16.7%

Length

2023-12-13T04:47:50.095616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:47:50.236150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유흥주점영업 40
83.3%
단란주점 8
 
16.7%

업소명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-13T04:47:50.456726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length5.1666667
Min length1

Characters and Unicode

Total characters248
Distinct characters106
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row고전가요방
2nd row홍당무
3rd row태경가요방
4th row월드부일룸 가요방
5th row라이브7080
ValueCountFrequency (%)
고전가요방 1
 
1.8%
쌈바쌈바 1
 
1.8%
비체음악홀 1
 
1.8%
경일노래주점 1
 
1.8%
앵콜 1
 
1.8%
1
 
1.8%
싸이키가요방 1
 
1.8%
수궁 1
 
1.8%
1
 
1.8%
음악홀 1
 
1.8%
Other values (45) 45
81.8%
2023-12-13T04:47:50.851487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
6.5%
14
 
5.6%
14
 
5.6%
13
 
5.2%
12
 
4.8%
12
 
4.8%
11
 
4.4%
7
 
2.8%
5
 
2.0%
0 4
 
1.6%
Other values (96) 140
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 227
91.5%
Decimal Number 10
 
4.0%
Space Separator 7
 
2.8%
Uppercase Letter 2
 
0.8%
Letter Number 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16
 
7.0%
14
 
6.2%
14
 
6.2%
13
 
5.7%
12
 
5.3%
12
 
5.3%
11
 
4.8%
5
 
2.2%
4
 
1.8%
4
 
1.8%
Other values (87) 122
53.7%
Decimal Number
ValueCountFrequency (%)
0 4
40.0%
7 2
20.0%
8 2
20.0%
1 1
 
10.0%
2 1
 
10.0%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 227
91.5%
Common 17
 
6.9%
Latin 4
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16
 
7.0%
14
 
6.2%
14
 
6.2%
13
 
5.7%
12
 
5.3%
12
 
5.3%
11
 
4.8%
5
 
2.2%
4
 
1.8%
4
 
1.8%
Other values (87) 122
53.7%
Common
ValueCountFrequency (%)
7
41.2%
0 4
23.5%
7 2
 
11.8%
8 2
 
11.8%
1 1
 
5.9%
2 1
 
5.9%
Latin
ValueCountFrequency (%)
G 2
50.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 227
91.5%
ASCII 19
 
7.7%
Number Forms 2
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
16
 
7.0%
14
 
6.2%
14
 
6.2%
13
 
5.7%
12
 
5.3%
12
 
5.3%
11
 
4.8%
5
 
2.2%
4
 
1.8%
4
 
1.8%
Other values (87) 122
53.7%
ASCII
ValueCountFrequency (%)
7
36.8%
0 4
21.1%
G 2
 
10.5%
7 2
 
10.5%
8 2
 
10.5%
1 1
 
5.3%
2 1
 
5.3%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-13T04:47:51.170551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length22.75
Min length19

Characters and Unicode

Total characters1092
Distinct characters71
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

Unique48 ?
Unique (%)100.0%

Sample

1st row경상남도 하동군 고전면 하동읍성로 550-5
2nd row경상남도 하동군 하동읍 중앙로 54
3rd row경상남도 하동군 화개면 화개로 2-15
4th row경상남도 하동군 진교면 민다리길 56-1
5th row경상남도 하동군 금성면 산업로 823, 섬진강호텔 지하 1흥
ValueCountFrequency (%)
경상남도 48
19.1%
하동군 48
19.1%
하동읍 19
 
7.6%
진교면 11
 
4.4%
중앙2길 7
 
2.8%
화개면 6
 
2.4%
화개로 6
 
2.4%
진교중앙길 5
 
2.0%
중앙3길 4
 
1.6%
민다리길 4
 
1.6%
Other values (78) 93
37.1%
2023-12-13T04:47:51.680620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
18.7%
69
 
6.3%
68
 
6.2%
50
 
4.6%
50
 
4.6%
49
 
4.5%
48
 
4.4%
48
 
4.4%
1 42
 
3.8%
30
 
2.7%
Other values (61) 434
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 682
62.5%
Space Separator 204
 
18.7%
Decimal Number 165
 
15.1%
Dash Punctuation 26
 
2.4%
Close Punctuation 6
 
0.5%
Open Punctuation 6
 
0.5%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
69
 
10.1%
68
 
10.0%
50
 
7.3%
50
 
7.3%
49
 
7.2%
48
 
7.0%
48
 
7.0%
30
 
4.4%
29
 
4.3%
24
 
3.5%
Other values (46) 217
31.8%
Decimal Number
ValueCountFrequency (%)
1 42
25.5%
2 25
15.2%
3 18
10.9%
5 17
10.3%
6 15
 
9.1%
4 12
 
7.3%
0 11
 
6.7%
8 11
 
6.7%
7 8
 
4.8%
9 6
 
3.6%
Space Separator
ValueCountFrequency (%)
204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 682
62.5%
Common 410
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
69
 
10.1%
68
 
10.0%
50
 
7.3%
50
 
7.3%
49
 
7.2%
48
 
7.0%
48
 
7.0%
30
 
4.4%
29
 
4.3%
24
 
3.5%
Other values (46) 217
31.8%
Common
ValueCountFrequency (%)
204
49.8%
1 42
 
10.2%
- 26
 
6.3%
2 25
 
6.1%
3 18
 
4.4%
5 17
 
4.1%
6 15
 
3.7%
4 12
 
2.9%
0 11
 
2.7%
8 11
 
2.7%
Other values (5) 29
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 682
62.5%
ASCII 410
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
49.8%
1 42
 
10.2%
- 26
 
6.3%
2 25
 
6.1%
3 18
 
4.4%
5 17
 
4.1%
6 15
 
3.7%
4 12
 
2.9%
0 11
 
2.7%
8 11
 
2.7%
Other values (5) 29
 
7.1%
Hangul
ValueCountFrequency (%)
69
 
10.1%
68
 
10.0%
50
 
7.3%
50
 
7.3%
49
 
7.2%
48
 
7.0%
48
 
7.0%
30
 
4.4%
29
 
4.3%
24
 
3.5%
Other values (46) 217
31.8%
Distinct45
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-13T04:47:51.969471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length12.708333
Min length4

Characters and Unicode

Total characters610
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

Unique44 ?
Unique (%)91.7%

Sample

1st row055-883 -8861
2nd row 055-884 -4911
3rd row055-883 -9636
4th row 055-884 -8085
5th row 055-883-8831
ValueCountFrequency (%)
055 31
33.3%
883 5
 
5.4%
884 4
 
4.3%
055-884 3
 
3.2%
055-883 3
 
3.2%
882 2
 
2.2%
882-7094 1
 
1.1%
7518 1
 
1.1%
9544 1
 
1.1%
055-883-6187 1
 
1.1%
Other values (41) 41
44.1%
2023-12-13T04:47:52.383517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 120
19.7%
8 109
17.9%
- 92
15.1%
0 71
11.6%
66
10.8%
3 37
 
6.1%
4 29
 
4.8%
1 25
 
4.1%
2 19
 
3.1%
6 16
 
2.6%
Other values (2) 26
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 452
74.1%
Dash Punctuation 92
 
15.1%
Space Separator 66
 
10.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 120
26.5%
8 109
24.1%
0 71
15.7%
3 37
 
8.2%
4 29
 
6.4%
1 25
 
5.5%
2 19
 
4.2%
6 16
 
3.5%
7 14
 
3.1%
9 12
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Space Separator
ValueCountFrequency (%)
66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 610
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 120
19.7%
8 109
17.9%
- 92
15.1%
0 71
11.6%
66
10.8%
3 37
 
6.1%
4 29
 
4.8%
1 25
 
4.1%
2 19
 
3.1%
6 16
 
2.6%
Other values (2) 26
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 610
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 120
19.7%
8 109
17.9%
- 92
15.1%
0 71
11.6%
66
10.8%
3 37
 
6.1%
4 29
 
4.8%
1 25
 
4.1%
2 19
 
3.1%
6 16
 
2.6%
Other values (2) 26
 
4.3%

Interactions

2023-12-13T04:47:49.391838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:47:52.548027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명업소명소재지(도로명)전화번호
연번1.0000.9821.0001.0000.900
업종명0.9821.0001.0001.0000.000
업소명1.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.000
전화번호0.9000.0001.0001.0001.000
2023-12-13T04:47:52.688785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.801
업종명0.8011.000

Missing values

2023-12-13T04:47:49.497633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:47:49.590012image/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

연번업종명업소명소재지(도로명)전화번호
01유흥주점영업고전가요방경상남도 하동군 고전면 하동읍성로 550-5055-883 -8861
12유흥주점영업홍당무경상남도 하동군 하동읍 중앙로 54055-884 -4911
23유흥주점영업태경가요방경상남도 하동군 화개면 화개로 2-15055-883 -9636
34유흥주점영업월드부일룸 가요방경상남도 하동군 진교면 민다리길 56-1055-884 -8085
45유흥주점영업라이브7080경상남도 하동군 금성면 산업로 823, 섬진강호텔 지하 1흥055-883-8831
56유흥주점영업둥지 가요주점경상남도 하동군 금성면 금성로 270055-882 -5225
67유흥주점영업로또스탠드빠경상남도 하동군 진교면 민다리길 51-2055-
78유흥주점영업오페라 7080 노래방경상남도 하동군 진교면 진교중앙길 14-7055- 884-1524
89유흥주점영업토심경상남도 하동군 진교면 민다리안길 107055- 884-0765
910유흥주점영업수일룸가요방경상남도 하동군 진교면 민다리길 53055 -884 -4121
연번업종명업소명소재지(도로명)전화번호
3839유흥주점영업폭포수유흥주점경상남도 하동군 진교면 진교중앙길 14-5, 폭포수유흥주점 2층055-883-1005
3940유흥주점영업GG가요주점경상남도 하동군 금남면 섬진강대로 963055-883-0757
4041단란주점정원경상남도 하동군 진교면 경충로 1103055- 883-7266
4142단란주점늘봄단란주점경상남도 하동군 화개면 화개로 239055-883 -8411
4243단란주점비너스단란주점경상남도 하동군 화개면 화개로 48, 3층055- 883-6303
4344단란주점청학골노래주점경상남도 하동군 청암면 청학로 2267055- 882-7094
4445단란주점유진노래주점경상남도 하동군 진교면 민다리길 83-1055-
4546단란주점삼덕가요방경상남도 하동군 화개면 화개로 886 (외1필지(지상2층))055-
4647단란주점고향노래주점경상남도 하동군 화개면 화개로 533055 -883 -9544
4748단란주점귀족단란주점경상남도 하동군 진교면 진교중앙길 11055 -884 -3358