Overview

Dataset statistics

Number of variables6
Number of observations78
Missing cells36
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory50.7 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

전화번호 has 36 (46.2%) missing valuesMissing
연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:04:44.593779
Analysis finished2023-12-10 23:04:45.600211
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.5
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-11T08:04:45.688215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.85
Q120.25
median39.5
Q358.75
95-th percentile74.15
Maximum78
Range77
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation22.660538
Coefficient of variation (CV)0.57368452
Kurtosis-1.2
Mean39.5
Median Absolute Deviation (MAD)19.5
Skewness0
Sum3081
Variance513.5
MonotonicityStrictly increasing
2023-12-11T08:04:45.866573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
51 1
 
1.3%
58 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
50 1
 
1.3%
Other values (68) 68
87.2%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
78 1
1.3%
77 1
1.3%
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%

업체명
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-11T08:04:46.147863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.2820513
Min length2

Characters and Unicode

Total characters412
Distinct characters162
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

Unique78 ?
Unique (%)100.0%

Sample

1st row섬진강식당
2nd row원조재첩국나루터식당
3rd row원조강변할매재첩국식당
4th row하동솔잎한우프라자
5th row큰바다횟집
ValueCountFrequency (%)
섬진강식당 1
 
1.2%
쭈꾸미strory 1
 
1.2%
등대횟집 1
 
1.2%
청학동한우촌 1
 
1.2%
성남식당 1
 
1.2%
소문난국밥 1
 
1.2%
화성식당 1
 
1.2%
사랑채 1
 
1.2%
하양 1
 
1.2%
민다리식당 1
 
1.2%
Other values (71) 71
87.7%
2023-12-11T08:04:46.595568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 18
 
4.4%
당 17
 
4.1%
집 17
 
4.1%
횟 12
 
2.9%
하 11
 
2.7%
동 10
 
2.4%
가 8
 
1.9%
성 8
 
1.9%
갈 7
 
1.7%
원 6
 
1.5%
Other values (152) 298
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 400
97.1%
Lowercase Letter 8
 
1.9%
Space Separator 3
 
0.7%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 18
 
4.5%
당 17
 
4.2%
집 17
 
4.2%
횟 12
 
3.0%
하 11
 
2.8%
동 10
 
2.5%
가 8
 
2.0%
성 8
 
2.0%
갈 7
 
1.8%
원 6
 
1.5%
Other values (144) 286
71.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
r 2
25.0%
y 1
12.5%
o 1
12.5%
t 1
12.5%
s 1
12.5%
Space Separator
ValueCountFrequency (%)
3
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 400
97.1%
Latin 9
 
2.2%
Common 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 18
 
4.5%
당 17
 
4.2%
집 17
 
4.2%
횟 12
 
3.0%
하 11
 
2.8%
동 10
 
2.5%
가 8
 
2.0%
성 8
 
2.0%
갈 7
 
1.8%
원 6
 
1.5%
Other values (144) 286
71.5%
Latin
ValueCountFrequency (%)
e 2
22.2%
r 2
22.2%
y 1
11.1%
o 1
11.1%
t 1
11.1%
s 1
11.1%
L 1
11.1%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 400
97.1%
ASCII 12
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 18
 
4.5%
당 17
 
4.2%
집 17
 
4.2%
횟 12
 
3.0%
하 11
 
2.8%
동 10
 
2.5%
가 8
 
2.0%
성 8
 
2.0%
갈 7
 
1.8%
원 6
 
1.5%
Other values (144) 286
71.5%
ASCII
ValueCountFrequency (%)
3
25.0%
e 2
16.7%
r 2
16.7%
y 1
 
8.3%
o 1
 
8.3%
t 1
 
8.3%
s 1
 
8.3%
L 1
 
8.3%

대표자명
Text

Distinct76
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-11T08:04:46.912282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters234
Distinct characters85
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

Unique74 ?
Unique (%)94.9%

Sample

1st row김영미
2nd row이상태
3rd row이순자
4th row이병호
5th row신호숙
ValueCountFrequency (%)
박은주 2
 
2.6%
이영자 2
 
2.6%
오오명 1
 
1.3%
이귀연 1
 
1.3%
최경순 1
 
1.3%
김동규 1
 
1.3%
김봉학 1
 
1.3%
최은숙 1
 
1.3%
배성규 1
 
1.3%
김경애 1
 
1.3%
Other values (66) 66
84.6%
2023-12-11T08:04:47.367952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 22
 
9.4%
이 12
 
5.1%
정 11
 
4.7%
경 8
 
3.4%
영 8
 
3.4%
자 8
 
3.4%
희 8
 
3.4%
숙 7
 
3.0%
선 7
 
3.0%
미 7
 
3.0%
Other values (75) 136
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 22
 
9.4%
이 12
 
5.1%
정 11
 
4.7%
경 8
 
3.4%
영 8
 
3.4%
자 8
 
3.4%
희 8
 
3.4%
숙 7
 
3.0%
선 7
 
3.0%
미 7
 
3.0%
Other values (75) 136
58.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 22
 
9.4%
이 12
 
5.1%
정 11
 
4.7%
경 8
 
3.4%
영 8
 
3.4%
자 8
 
3.4%
희 8
 
3.4%
숙 7
 
3.0%
선 7
 
3.0%
미 7
 
3.0%
Other values (75) 136
58.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 22
 
9.4%
이 12
 
5.1%
정 11
 
4.7%
경 8
 
3.4%
영 8
 
3.4%
자 8
 
3.4%
희 8
 
3.4%
숙 7
 
3.0%
선 7
 
3.0%
미 7
 
3.0%
Other values (75) 136
58.1%

읍면
Categorical

Distinct11
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size756.0 B
하동읍
32 
화개면
16 
금남면
10 
고전면
4 
진교면
4 
Other values (6)
12 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
하동읍 32
41.0%
화개면 16
20.5%
금남면 10
 
12.8%
고전면 4
 
5.1%
진교면 4
 
5.1%
청암면 3
 
3.8%
횡천면 3
 
3.8%
적량면 2
 
2.6%
옥종면 2
 
2.6%
금성면 1
 
1.3%

Length

2023-12-11T08:04:47.508619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
하동읍 32
41.0%
화개면 16
20.5%
금남면 10
 
12.8%
고전면 4
 
5.1%
진교면 4
 
5.1%
청암면 3
 
3.8%
횡천면 3
 
3.8%
적량면 2
 
2.6%
옥종면 2
 
2.6%
금성면 1
 
1.3%

소재지
Text

Distinct76
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-11T08:04:47.752571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length9.974359
Min length7

Characters and Unicode

Total characters778
Distinct characters87
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)94.9%

Sample

1st row고전면재첩길237
2nd row고전면재첩길286
3rd row고전면재첩길286-1
4th row고전면하동읍성로9
5th row금남면노량해안길155
ValueCountFrequency (%)
화개면쌍계사길6 2
 
2.6%
화개면쌍계로17 2
 
2.6%
금남면노량해안길16-2 1
 
1.3%
악양면평사리길45 1
 
1.3%
화개면화개로532 1
 
1.3%
하동읍경서대로245 1
 
1.3%
청암면청학로661 1
 
1.3%
청암면청학동길15-14 1
 
1.3%
옥종면옥종중앙길88 1
 
1.3%
옥종면양구1길72 1
 
1.3%
Other values (66) 66
84.6%
2023-12-11T08:04:48.167427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 57
 
7.3%
면 47
 
6.0%
길 38
 
4.9%
2 38
 
4.9%
로 37
 
4.8%
동 35
 
4.5%
읍 34
 
4.4%
하 33
 
4.2%
5 24
 
3.1%
화 22
 
2.8%
Other values (77) 413
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 532
68.4%
Decimal Number 226
29.0%
Dash Punctuation 18
 
2.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 47
 
8.8%
길 38
 
7.1%
로 37
 
7.0%
동 35
 
6.6%
읍 34
 
6.4%
하 33
 
6.2%
화 22
 
4.1%
개 21
 
3.9%
대 15
 
2.8%
진 12
 
2.3%
Other values (64) 238
44.7%
Decimal Number
ValueCountFrequency (%)
1 57
25.2%
2 38
16.8%
5 24
10.6%
4 21
 
9.3%
6 19
 
8.4%
3 15
 
6.6%
8 15
 
6.6%
7 14
 
6.2%
0 13
 
5.8%
9 10
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 532
68.4%
Common 246
31.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 47
 
8.8%
길 38
 
7.1%
로 37
 
7.0%
동 35
 
6.6%
읍 34
 
6.4%
하 33
 
6.2%
화 22
 
4.1%
개 21
 
3.9%
대 15
 
2.8%
진 12
 
2.3%
Other values (64) 238
44.7%
Common
ValueCountFrequency (%)
1 57
23.2%
2 38
15.4%
5 24
9.8%
4 21
 
8.5%
6 19
 
7.7%
- 18
 
7.3%
3 15
 
6.1%
8 15
 
6.1%
7 14
 
5.7%
0 13
 
5.3%
Other values (3) 12
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 532
68.4%
ASCII 246
31.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 57
23.2%
2 38
15.4%
5 24
9.8%
4 21
 
8.5%
6 19
 
7.7%
- 18
 
7.3%
3 15
 
6.1%
8 15
 
6.1%
7 14
 
5.7%
0 13
 
5.3%
Other values (3) 12
 
4.9%
Hangul
ValueCountFrequency (%)
면 47
 
8.8%
길 38
 
7.1%
로 37
 
7.0%
동 35
 
6.6%
읍 34
 
6.4%
하 33
 
6.2%
화 22
 
4.1%
개 21
 
3.9%
대 15
 
2.8%
진 12
 
2.3%
Other values (64) 238
44.7%

전화번호
Text

MISSING 

Distinct42
Distinct (%)100.0%
Missing36
Missing (%)46.2%
Memory size756.0 B
2023-12-11T08:04:48.445292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters504
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

Unique42 ?
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 (%)
055-883-5527 1
 
2.4%
055-883-0247 1
 
2.4%
055-884-8330 1
 
2.4%
055-883-3838 1
 
2.4%
055-883-5853 1
 
2.4%
055-884-2257 1
 
2.4%
055-884-3478 1
 
2.4%
055-884-0084 1
 
2.4%
055-884-8292 1
 
2.4%
055-883-1709 1
 
2.4%
Other values (32) 32
76.2%
2023-12-11T08:04:48.833098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 104
20.6%
8 102
20.2%
- 84
16.7%
0 62
12.3%
3 38
 
7.5%
4 31
 
6.2%
2 28
 
5.6%
1 15
 
3.0%
7 14
 
2.8%
9 14
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 420
83.3%
Dash Punctuation 84
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 104
24.8%
8 102
24.3%
0 62
14.8%
3 38
 
9.0%
4 31
 
7.4%
2 28
 
6.7%
1 15
 
3.6%
7 14
 
3.3%
9 14
 
3.3%
6 12
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 104
20.6%
8 102
20.2%
- 84
16.7%
0 62
12.3%
3 38
 
7.5%
4 31
 
6.2%
2 28
 
5.6%
1 15
 
3.0%
7 14
 
2.8%
9 14
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 104
20.6%
8 102
20.2%
- 84
16.7%
0 62
12.3%
3 38
 
7.5%
4 31
 
6.2%
2 28
 
5.6%
1 15
 
3.0%
7 14
 
2.8%
9 14
 
2.8%

Interactions

2023-12-11T08:04:45.258523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:04:48.938905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명대표자명읍면소재지전화번호
연번1.0001.0000.8470.6930.9701.000
업체명1.0001.0001.0001.0001.0001.000
대표자명0.8471.0001.0000.8830.9951.000
읍면0.6931.0000.8831.0001.0001.000
소재지0.9701.0000.9951.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2023-12-11T08:04:49.033639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면
연번1.0000.378
읍면0.3781.000

Missing values

2023-12-11T08:04:45.414394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:04:45.552529image/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
01섬진강식당김영미고전면고전면재첩길237055-883-0247
12원조재첩국나루터식당이상태고전면고전면재첩길286<NA>
23원조강변할매재첩국식당이순자고전면고전면재첩길286-1055-882-1369
34하동솔잎한우프라자이병호고전면고전면하동읍성로9055-884-1515
45큰바다횟집신호숙금남면금남면노량해안길155<NA>
56제일회센타천정숙금남면금남면노량해안길217<NA>
67덕원회센타임성미금남면금남면노량해안길37<NA>
78회성회센타도향순금남면금남면노량해안길145<NA>
89금성숯불갈비서민호금성면금성면신도길124<NA>
910하동갈매기 회초밥김영희진교면진교면경충로1051<NA>
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6970고향맛집김운태화개면화개면쌍계로19055-883-4544
7071옥화주막김소연화개면화개면쌍계로21055-883-9944
7172조양숯불갈비김해곤화개면화개면쌍계로35055-883-8200
7273찻잎마술정소암화개면화개면화개로521055-883-3316
7374쌍계정이경희화개면화개면화개로533055-883-1672
7475마시존치킨프라자김태임하동읍하동읍경서대로102055-883-8060
7576섬진칼국수전미애하동읍하동읍중앙2길3055-883-4343
7677하동지리산흑돼지이경애하동읍하동읍금성면산업로827-5055-884-8071
7778만지횟집강은희하동읍하동읍섬진강대로2485055-883-2020