Overview

Dataset statistics

Number of variables6
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory54.7 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description경상남도 하동군에 있는 모범음식점 현황(업태명, 업소명, 대표자명, 소재지, 전화번호 등) 정보를 제공하고 있습니다
Author경상남도 하동군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15084655

Alerts

연번 has unique valuesUnique
업소명 has unique valuesUnique
대표자명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:31:26.197371
Analysis finished2023-12-10 23:31:26.736095
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T08:31:26.791640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-11T08:31:26.916868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

업태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
한식
20 
횟집
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한식 20
87.0%
횟집 3
 
13.0%

Length

2023-12-11T08:31:27.016121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:31:27.103297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 20
87.0%
횟집 3
 
13.0%

업소명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T08:31:27.245908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length6.1304348
Min length2

Characters and Unicode

Total characters141
Distinct characters82
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row원조재첩국나루터식당
2nd row원조강변할매재첩국식당
3rd row용궁식당
4th row쉬어가기 좋은 날
5th row늘봄식당
ValueCountFrequency (%)
날 2
 
7.1%
원조재첩국나루터식당 1
 
3.6%
하동솔잎돼지 1
 
3.6%
짬뽕 1
 
3.6%
오.짬.땡.오늘은 1
 
3.6%
옥종명가 1
 
3.6%
합천삼가한우라예 1
 
3.6%
하동집참숯불구이 1
 
3.6%
천금복집 1
 
3.6%
하옹 1
 
3.6%
Other values (17) 17
60.7%
2023-12-11T08:31:27.558889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
집 6
 
4.3%
식 6
 
4.3%
당 6
 
4.3%
5
 
3.5%
하 4
 
2.8%
가 4
 
2.8%
동 3
 
2.1%
횟 3
 
2.1%
이 3
 
2.1%
. 3
 
2.1%
Other values (72) 98
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133
94.3%
Space Separator 5
 
3.5%
Other Punctuation 3
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
집 6
 
4.5%
식 6
 
4.5%
당 6
 
4.5%
하 4
 
3.0%
가 4
 
3.0%
동 3
 
2.3%
횟 3
 
2.3%
이 3
 
2.3%
원 3
 
2.3%
국 3
 
2.3%
Other values (70) 92
69.2%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133
94.3%
Common 8
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
집 6
 
4.5%
식 6
 
4.5%
당 6
 
4.5%
하 4
 
3.0%
가 4
 
3.0%
동 3
 
2.3%
횟 3
 
2.3%
이 3
 
2.3%
원 3
 
2.3%
국 3
 
2.3%
Other values (70) 92
69.2%
Common
ValueCountFrequency (%)
5
62.5%
. 3
37.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133
94.3%
ASCII 8
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
집 6
 
4.5%
식 6
 
4.5%
당 6
 
4.5%
하 4
 
3.0%
가 4
 
3.0%
동 3
 
2.3%
횟 3
 
2.3%
이 3
 
2.3%
원 3
 
2.3%
국 3
 
2.3%
Other values (70) 92
69.2%
ASCII
ValueCountFrequency (%)
5
62.5%
. 3
37.5%

대표자명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T08:31:27.777869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters69
Distinct characters42
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

Unique23 ?
Unique (%)100.0%

Sample

1st row이상태
2nd row이순자
3rd row김영심
4th row김경희
5th row김동순
ValueCountFrequency (%)
이상태 1
 
4.3%
정재섭 1
 
4.3%
조민희 1
 
4.3%
이승주 1
 
4.3%
손초롱 1
 
4.3%
조성모 1
 
4.3%
김진현 1
 
4.3%
배정자 1
 
4.3%
천정숙 1
 
4.3%
이병호 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T08:31:28.034843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 6
 
8.7%
이 5
 
7.2%
정 5
 
7.2%
성 3
 
4.3%
자 2
 
2.9%
숙 2
 
2.9%
재 2
 
2.9%
주 2
 
2.9%
박 2
 
2.9%
임 2
 
2.9%
Other values (32) 38
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 6
 
8.7%
이 5
 
7.2%
정 5
 
7.2%
성 3
 
4.3%
자 2
 
2.9%
숙 2
 
2.9%
재 2
 
2.9%
주 2
 
2.9%
박 2
 
2.9%
임 2
 
2.9%
Other values (32) 38
55.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 6
 
8.7%
이 5
 
7.2%
정 5
 
7.2%
성 3
 
4.3%
자 2
 
2.9%
숙 2
 
2.9%
재 2
 
2.9%
주 2
 
2.9%
박 2
 
2.9%
임 2
 
2.9%
Other values (32) 38
55.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 6
 
8.7%
이 5
 
7.2%
정 5
 
7.2%
성 3
 
4.3%
자 2
 
2.9%
숙 2
 
2.9%
재 2
 
2.9%
주 2
 
2.9%
박 2
 
2.9%
임 2
 
2.9%
Other values (32) 38
55.1%

소재지(도로명)
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T08:31:28.211069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length17.73913
Min length14

Characters and Unicode

Total characters408
Distinct characters68
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

Unique21 ?
Unique (%)91.3%

Sample

1st row하동군 고전면 재첩길 286
2nd row하동군 고전면 재첩길 286-1
3rd row하동군 하동읍 굴다리2길 49
4th row하동군 화개면 쌍계사길 6
5th row하동군 화개면 화개로 239
ValueCountFrequency (%)
하동군 23
23.0%
하동읍 8
 
8.0%
화개면 5
 
5.0%
경상남도 5
 
5.0%
섬진강대로 4
 
4.0%
고전면 3
 
3.0%
1층 2
 
2.0%
쌍계사길 2
 
2.0%
6 2
 
2.0%
재첩길 2
 
2.0%
Other values (40) 44
44.0%
2023-12-11T08:31:28.543603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
78
19.1%
동 33
 
8.1%
하 32
 
7.8%
군 23
 
5.6%
면 15
 
3.7%
2 14
 
3.4%
길 13
 
3.2%
1 11
 
2.7%
로 10
 
2.5%
읍 9
 
2.2%
Other values (58) 170
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 254
62.3%
Space Separator 78
 
19.1%
Decimal Number 68
 
16.7%
Dash Punctuation 6
 
1.5%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 33
 
13.0%
하 32
 
12.6%
군 23
 
9.1%
면 15
 
5.9%
길 13
 
5.1%
로 10
 
3.9%
읍 9
 
3.5%
경 7
 
2.8%
남 7
 
2.8%
진 7
 
2.8%
Other values (45) 98
38.6%
Decimal Number
ValueCountFrequency (%)
2 14
20.6%
1 11
16.2%
7 8
11.8%
5 7
10.3%
6 7
10.3%
8 5
 
7.4%
9 5
 
7.4%
3 4
 
5.9%
0 4
 
5.9%
4 3
 
4.4%
Space Separator
ValueCountFrequency (%)
78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 254
62.3%
Common 154
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 33
 
13.0%
하 32
 
12.6%
군 23
 
9.1%
면 15
 
5.9%
길 13
 
5.1%
로 10
 
3.9%
읍 9
 
3.5%
경 7
 
2.8%
남 7
 
2.8%
진 7
 
2.8%
Other values (45) 98
38.6%
Common
ValueCountFrequency (%)
78
50.6%
2 14
 
9.1%
1 11
 
7.1%
7 8
 
5.2%
5 7
 
4.5%
6 7
 
4.5%
- 6
 
3.9%
8 5
 
3.2%
9 5
 
3.2%
3 4
 
2.6%
Other values (3) 9
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 254
62.3%
ASCII 154
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
78
50.6%
2 14
 
9.1%
1 11
 
7.1%
7 8
 
5.2%
5 7
 
4.5%
6 7
 
4.5%
- 6
 
3.9%
8 5
 
3.2%
9 5
 
3.2%
3 4
 
2.6%
Other values (3) 9
 
5.8%
Hangul
ValueCountFrequency (%)
동 33
 
13.0%
하 32
 
12.6%
군 23
 
9.1%
면 15
 
5.9%
길 13
 
5.1%
로 10
 
3.9%
읍 9
 
3.5%
경 7
 
2.8%
남 7
 
2.8%
진 7
 
2.8%
Other values (45) 98
38.6%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T08:31:28.719664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row055-882-1370
2nd row055-882-1369
3rd row055-884-4691
4th row055-883-4375
5th row055-883-8411
ValueCountFrequency (%)
055-882-1370 1
 
4.3%
055-884-1889 1
 
4.3%
055-883-1141 1
 
4.3%
055-883-5045 1
 
4.3%
055-883-2231 1
 
4.3%
055-883-9994 1
 
4.3%
055-882-3457 1
 
4.3%
055-884-1008 1
 
4.3%
055-882-0301 1
 
4.3%
055-884-1515 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T08:31:29.103179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 59
21.4%
8 54
19.6%
- 46
16.7%
0 35
12.7%
3 21
 
7.6%
1 16
 
5.8%
4 15
 
5.4%
2 13
 
4.7%
6 6
 
2.2%
9 6
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 59
25.7%
8 54
23.5%
0 35
15.2%
3 21
 
9.1%
1 16
 
7.0%
4 15
 
6.5%
2 13
 
5.7%
6 6
 
2.6%
9 6
 
2.6%
7 5
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 59
21.4%
8 54
19.6%
- 46
16.7%
0 35
12.7%
3 21
 
7.6%
1 16
 
5.8%
4 15
 
5.4%
2 13
 
4.7%
6 6
 
2.2%
9 6
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 59
21.4%
8 54
19.6%
- 46
16.7%
0 35
12.7%
3 21
 
7.6%
1 16
 
5.8%
4 15
 
5.4%
2 13
 
4.7%
6 6
 
2.2%
9 6
 
2.2%

Interactions

2023-12-11T08:31:26.474901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:31:29.200710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업태명업소명대표자명소재지(도로명)전화번호
연번1.0000.6621.0001.0000.8911.000
업태명0.6621.0001.0001.0001.0001.000
업소명1.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.000
소재지(도로명)0.8911.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2023-12-11T08:31:29.297564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업태명
연번1.0000.000
업태명0.0001.000

Missing values

2023-12-11T08:31:26.594148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:31:26.690652image/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

연번업태명업소명대표자명소재지(도로명)전화번호
01한식원조재첩국나루터식당이상태하동군 고전면 재첩길 286055-882-1370
12한식원조강변할매재첩국식당이순자하동군 고전면 재첩길 286-1055-882-1369
23한식용궁식당김영심하동군 하동읍 굴다리2길 49055-884-4691
34한식쉬어가기 좋은 날김경희하동군 화개면 쌍계사길 6055-883-4375
45한식늘봄식당김동순하동군 화개면 화개로 239055-883-8411
56한식청운식당정명숙하동군 화개면 쌍계사길 6055-883-1666
67한식범바구집김성아하동군 하동읍 범바위길 1055-884-4583
78한식섬진강횟집한선임하동군 하동읍 섬진강대로 2539-8055-883-5527
89한식돌팀이횟집박선주하동군 하동읍 섬진강대로 2576055-883-5523
910한식이화가든여태봉하동군 하동읍 섬진강대로 2507055-884-0075
연번업태명업소명대표자명소재지(도로명)전화번호
1314횟집덕원회센타임성미하동군 금남면 노량해안길 37055-882-0262
1415한식하동솔잎한우프라자이병호하동군 고전면 하동읍성로 9055-884-1515
1516횟집제일회센타천정숙하동군 금남면 노량해안길 217055-882-0301
1617한식장터국밥배정자하동군 화개면 쌍계로 17055-884-1008
1718한식하옹김진현하동군 하동읍 섬진강대로 2578055-882-3457
1819한식천금복집조성모경상남도 하동군 진교면 경충로 1015055-883-9994
1920한식하동집참숯불구이손초롱경상남도 하동군 하동읍 중앙2길 10-7055-883-2231
2021한식합천삼가한우라예이승주경상남도 하동군 진교면 진교중앙길 15, 1층055-883-5045
2122한식옥종명가조민희경상남도 하동군 옥종면 은행나무길 74-2, 주2동 1층055-883-1141
2223한식오.짬.땡.오늘은 짬뽕 땡기는 날박재영경상남도 하동군 적량면 경서대로 356055-882-0530