Overview

Dataset statistics

Number of variables6
Number of observations32
Missing cells15
Missing cells (%)7.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory53.1 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description데이터정비(2023년 안심식당 신규지정으로 안심식당 신규자료 재정비로 업데이트를 위한 변경)
Author경상남도 하동군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15086189

Alerts

연번 is highly overall correlated with 읍면High correlation
읍면 is highly overall correlated with 연번High correlation
전화번호 has 15 (46.9%) missing valuesMissing
연번 has unique valuesUnique
업체명 has unique valuesUnique
대표자명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:04:49.937745
Analysis finished2023-12-10 23:04:50.517905
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T08:04:50.587031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2023-12-11T08:04:50.717440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

업체명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T08:04:50.936785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.53125
Min length3

Characters and Unicode

Total characters177
Distinct characters94
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row섬진강식당
2nd row원조재첩국나루터식당
3rd row원조강변할매재첩국식당
4th row하동솔잎한우프라자
5th row큰바다횟집
ValueCountFrequency (%)
섬진강식당 1
 
2.9%
황의보감 1
 
2.9%
쉬어가기 1
 
2.9%
좋은 1
 
2.9%
날 1
 
2.9%
청운식당 1
 
2.9%
혜성식당 1
 
2.9%
하동솔잎돼지 1
 
2.9%
유샤브샤브 1
 
2.9%
돌팀이횟집 1
 
2.9%
Other values (25) 25
71.4%
2023-12-11T08:04:51.286012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 9
 
5.1%
당 9
 
5.1%
회 5
 
2.8%
원 5
 
2.8%
집 5
 
2.8%
가 4
 
2.3%
성 4
 
2.3%
횟 4
 
2.3%
동 4
 
2.3%
하 4
 
2.3%
Other values (84) 124
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
96.6%
Space Separator 3
 
1.7%
Lowercase Letter 2
 
1.1%
Uppercase Letter 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 9
 
5.3%
당 9
 
5.3%
회 5
 
2.9%
원 5
 
2.9%
집 5
 
2.9%
가 4
 
2.3%
성 4
 
2.3%
횟 4
 
2.3%
동 4
 
2.3%
하 4
 
2.3%
Other values (81) 118
69.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
96.6%
Common 3
 
1.7%
Latin 3
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 9
 
5.3%
당 9
 
5.3%
회 5
 
2.9%
원 5
 
2.9%
집 5
 
2.9%
가 4
 
2.3%
성 4
 
2.3%
횟 4
 
2.3%
동 4
 
2.3%
하 4
 
2.3%
Other values (81) 118
69.0%
Latin
ValueCountFrequency (%)
e 2
66.7%
L 1
33.3%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
96.6%
ASCII 6
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 9
 
5.3%
당 9
 
5.3%
회 5
 
2.9%
원 5
 
2.9%
집 5
 
2.9%
가 4
 
2.3%
성 4
 
2.3%
횟 4
 
2.3%
동 4
 
2.3%
하 4
 
2.3%
Other values (81) 118
69.0%
ASCII
ValueCountFrequency (%)
3
50.0%
e 2
33.3%
L 1
 
16.7%

대표자명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T08:04:51.501494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters96
Distinct characters48
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row김영미
2nd row이상태
3rd row이순자
4th row이병호
5th row신호숙
ValueCountFrequency (%)
김영미 1
 
3.1%
이상태 1
 
3.1%
이경원 1
 
3.1%
안미현 1
 
3.1%
배정자 1
 
3.1%
여미숙 1
 
3.1%
김은영 1
 
3.1%
최점자 1
 
3.1%
유성자 1
 
3.1%
황용호 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T08:04:51.829345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 8
 
8.3%
정 7
 
7.3%
이 5
 
5.2%
자 5
 
5.2%
숙 5
 
5.2%
미 4
 
4.2%
순 4
 
4.2%
호 4
 
4.2%
영 4
 
4.2%
성 3
 
3.1%
Other values (38) 47
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
8.3%
정 7
 
7.3%
이 5
 
5.2%
자 5
 
5.2%
숙 5
 
5.2%
미 4
 
4.2%
순 4
 
4.2%
호 4
 
4.2%
영 4
 
4.2%
성 3
 
3.1%
Other values (38) 47
49.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
8.3%
정 7
 
7.3%
이 5
 
5.2%
자 5
 
5.2%
숙 5
 
5.2%
미 4
 
4.2%
순 4
 
4.2%
호 4
 
4.2%
영 4
 
4.2%
성 3
 
3.1%
Other values (38) 47
49.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 8
 
8.3%
정 7
 
7.3%
이 5
 
5.2%
자 5
 
5.2%
숙 5
 
5.2%
미 4
 
4.2%
순 4
 
4.2%
호 4
 
4.2%
영 4
 
4.2%
성 3
 
3.1%
Other values (38) 47
49.0%

읍면
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
하동읍
11 
화개면
6 
고전면
4 
금남면
4 
횡천면
2 
Other values (4)
5 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)9.4%

Sample

1st row고전면
2nd row고전면
3rd row고전면
4th row고전면
5th row금남면

Common Values

ValueCountFrequency (%)
하동읍 11
34.4%
화개면 6
18.8%
고전면 4
 
12.5%
금남면 4
 
12.5%
횡천면 2
 
6.2%
적량면 2
 
6.2%
금성면 1
 
3.1%
진교면 1
 
3.1%
청암면 1
 
3.1%

Length

2023-12-11T08:04:52.246992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:04:52.390950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하동읍 11
34.4%
화개면 6
18.8%
고전면 4
 
12.5%
금남면 4
 
12.5%
횡천면 2
 
6.2%
적량면 2
 
6.2%
금성면 1
 
3.1%
진교면 1
 
3.1%
청암면 1
 
3.1%

소재지
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T08:04:52.613861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length12.125
Min length8

Characters and Unicode

Total characters388
Distinct characters73
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row고전면 재첩길 237
2nd row고전면 재첩길 286
3rd row고전면 재첩길 286-1
4th row고전면 하동읍성로 9
5th row금남면 노량해안길 155
ValueCountFrequency (%)
하동읍 11
 
11.6%
화개면 6
 
6.3%
섬진강대로 4
 
4.2%
고전면 4
 
4.2%
금남면 4
 
4.2%
노량해안길 4
 
4.2%
재첩길 3
 
3.2%
경서대로 2
 
2.1%
쌍계사길 2
 
2.1%
화개로 2
 
2.1%
Other values (49) 53
55.8%
2023-12-11T08:04:52.951509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
16.2%
면 21
 
5.4%
1 18
 
4.6%
2 15
 
3.9%
길 15
 
3.9%
로 14
 
3.6%
읍 13
 
3.4%
동 13
 
3.4%
하 12
 
3.1%
4 11
 
2.8%
Other values (63) 193
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 222
57.2%
Decimal Number 94
24.2%
Space Separator 63
 
16.2%
Dash Punctuation 7
 
1.8%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 21
 
9.5%
길 15
 
6.8%
로 14
 
6.3%
읍 13
 
5.9%
동 13
 
5.9%
하 12
 
5.4%
화 9
 
4.1%
개 8
 
3.6%
대 6
 
2.7%
량 6
 
2.7%
Other values (49) 105
47.3%
Decimal Number
ValueCountFrequency (%)
1 18
19.1%
2 15
16.0%
4 11
11.7%
5 10
10.6%
6 10
10.6%
3 7
 
7.4%
7 7
 
7.4%
8 6
 
6.4%
0 5
 
5.3%
9 5
 
5.3%
Space Separator
ValueCountFrequency (%)
63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 222
57.2%
Common 166
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 21
 
9.5%
길 15
 
6.8%
로 14
 
6.3%
읍 13
 
5.9%
동 13
 
5.9%
하 12
 
5.4%
화 9
 
4.1%
개 8
 
3.6%
대 6
 
2.7%
량 6
 
2.7%
Other values (49) 105
47.3%
Common
ValueCountFrequency (%)
63
38.0%
1 18
 
10.8%
2 15
 
9.0%
4 11
 
6.6%
5 10
 
6.0%
6 10
 
6.0%
- 7
 
4.2%
3 7
 
4.2%
7 7
 
4.2%
8 6
 
3.6%
Other values (4) 12
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 222
57.2%
ASCII 166
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
38.0%
1 18
 
10.8%
2 15
 
9.0%
4 11
 
6.6%
5 10
 
6.0%
6 10
 
6.0%
- 7
 
4.2%
3 7
 
4.2%
7 7
 
4.2%
8 6
 
3.6%
Other values (4) 12
 
7.2%
Hangul
ValueCountFrequency (%)
면 21
 
9.5%
길 15
 
6.8%
로 14
 
6.3%
읍 13
 
5.9%
동 13
 
5.9%
하 12
 
5.4%
화 9
 
4.1%
개 8
 
3.6%
대 6
 
2.7%
량 6
 
2.7%
Other values (49) 105
47.3%

전화번호
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Memory size388.0 B
2023-12-11T08:04:53.108907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters204
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

Unique17 ?
Unique (%)100.0%

Sample

1st row055-883-0247
2nd row055-882-1369
3rd row055-884-1515
4th row055-884-2869
5th row055-884-4691
ValueCountFrequency (%)
055-883-0247 1
 
5.9%
055-883-4375 1
 
5.9%
055-884-1580 1
 
5.9%
055-883-9572 1
 
5.9%
055-882-5255 1
 
5.9%
055-882-6662 1
 
5.9%
055-883-2140 1
 
5.9%
055-883-1666 1
 
5.9%
055-883-5527 1
 
5.9%
055-882-1369 1
 
5.9%
Other values (7) 7
41.2%
2023-12-11T08:04:53.372658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 45
22.1%
8 40
19.6%
- 34
16.7%
0 25
12.3%
4 12
 
5.9%
2 11
 
5.4%
3 10
 
4.9%
1 9
 
4.4%
6 9
 
4.4%
7 5
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 170
83.3%
Dash Punctuation 34
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 45
26.5%
8 40
23.5%
0 25
14.7%
4 12
 
7.1%
2 11
 
6.5%
3 10
 
5.9%
1 9
 
5.3%
6 9
 
5.3%
7 5
 
2.9%
9 4
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 45
22.1%
8 40
19.6%
- 34
16.7%
0 25
12.3%
4 12
 
5.9%
2 11
 
5.4%
3 10
 
4.9%
1 9
 
4.4%
6 9
 
4.4%
7 5
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 45
22.1%
8 40
19.6%
- 34
16.7%
0 25
12.3%
4 12
 
5.9%
2 11
 
5.4%
3 10
 
4.9%
1 9
 
4.4%
6 9
 
4.4%
7 5
 
2.5%

Interactions

2023-12-11T08:04:50.240670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:04:53.452022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명대표자명읍면소재지전화번호
연번1.0001.0001.0000.8011.0001.000
업체명1.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.000
읍면0.8011.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2023-12-11T08:04:53.534484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면
연번1.0000.511
읍면0.5111.000

Missing values

2023-12-11T08:04:50.358300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:04:50.469094image/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

연번업체명대표자명읍면소재지전화번호
01섬진강식당김영미고전면고전면 재첩길 237055-883-0247
12원조재첩국나루터식당이상태고전면고전면 재첩길 286<NA>
23원조강변할매재첩국식당이순자고전면고전면 재첩길 286-1055-882-1369
34하동솔잎한우프라자이병호고전면고전면 하동읍성로 9055-884-1515
45큰바다횟집신호숙금남면금남면 노량해안길 155<NA>
56제일회센타천정숙금남면금남면 노량해안길 217<NA>
67덕원회센타임성미금남면금남면 노량해안길 37<NA>
78회성회센타도향순금남면금남면 노량해안길 145<NA>
89금성숯불갈비서민호금성면금성면 신도길 124<NA>
910하동갈매기 회초밥김영희진교면진교면 경충로 1051<NA>
연번업체명대표자명읍면소재지전화번호
2223하동솔잎돼지정재섭횡천면횡천면 횡보길 2-6<NA>
2324황의보감황용호적량면적량면 경서대로 356055-882-6662
2425유샤브샤브유성자하동읍하동읍 읍내리 298-10<NA>
2526성화관최점자적량면적량면 공설운동장로 254055-882-5255
2627지리산면옥김은영하동읍하동읍 군청로 147055-883-9572
2728금양가든여미숙하동읍하동읍 재첩특화마을 3호점055-884-1580
2829장터국밥배정자화개면화개면 쌍계로 17055-884-1008
2930설송식당안미현화개면화개면 화개로 6-1<NA>
3031참치대가Lee이경원하동읍하동읍 시장3길 4-1<NA>
3132횡천묵밥고현숙횡천면횡천면 경서대로 11440(3층)<NA>