Overview

Dataset statistics

Number of variables6
Number of observations23
Missing cells1
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory54.7 B

Variable types

Text4
Numeric1
Categorical1

Dataset

Description경상남도 의령군 모범음식점에 대한 정보로써 업소명, 주 취급음식, 소재지의 도로명주소, 영업면적, 전화번호를 제공합니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15083299

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 1 (4.3%) missing valuesMissing
업소명 has unique valuesUnique
소재지 has unique valuesUnique
영업면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:23:33.787657
Analysis finished2023-12-11 00:23:34.265920
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T09:23:34.406194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length5.173913
Min length2

Characters and Unicode

Total characters119
Distinct characters80
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

Unique23 ?
Unique (%)100.0%

Sample

1st row6.3숯불촌
2nd row60계 경남의령점
3rd row강남가든
4th row금오암소한마당
5th row대교가든식당
ValueCountFrequency (%)
6.3숯불촌 1
 
4.2%
60계 1
 
4.2%
토요애한우촌(신태진식당 1
 
4.2%
초가산장 1
 
4.2%
청담 1
 
4.2%
진성보쌈 1
 
4.2%
중동식당 1
 
4.2%
종로식당 1
 
4.2%
의령소바 1
 
4.2%
오서방소고기국밥 1
 
4.2%
Other values (14) 14
58.3%
2023-12-11T09:23:34.721831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
 
5.9%
6
 
5.0%
3
 
2.5%
3
 
2.5%
3
 
2.5%
3
 
2.5%
3
 
2.5%
3
 
2.5%
3
 
2.5%
2
 
1.7%
Other values (70) 83
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111
93.3%
Decimal Number 4
 
3.4%
Open Punctuation 1
 
0.8%
Close Punctuation 1
 
0.8%
Space Separator 1
 
0.8%
Other Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
6.3%
6
 
5.4%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
2
 
1.8%
Other values (63) 75
67.6%
Decimal Number
ValueCountFrequency (%)
6 2
50.0%
3 1
25.0%
0 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111
93.3%
Common 8
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
 
6.3%
6
 
5.4%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
2
 
1.8%
Other values (63) 75
67.6%
Common
ValueCountFrequency (%)
6 2
25.0%
( 1
12.5%
) 1
12.5%
3 1
12.5%
0 1
12.5%
1
12.5%
. 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111
93.3%
ASCII 8
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7
 
6.3%
6
 
5.4%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
2
 
1.8%
Other values (63) 75
67.6%
ASCII
ValueCountFrequency (%)
6 2
25.0%
( 1
12.5%
) 1
12.5%
3 1
12.5%
0 1
12.5%
1
12.5%
. 1
12.5%
Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T09:23:34.899401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.3043478
Min length2

Characters and Unicode

Total characters191
Distinct characters52
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

Unique17 ?
Unique (%)73.9%

Sample

1st row돼지갈비, 삼겹살
2nd row쇠고기 구이류, 돼지고기 구이류
3rd row돼지갈비
4th row쇠고기갈비살, 등심
5th row오리불고기
ValueCountFrequency (%)
오리불고기 4
 
9.1%
구이류 3
 
6.8%
쇠고기 3
 
6.8%
쇠고기수육 2
 
4.5%
소바 2
 
4.5%
삼겹살 2
 
4.5%
돼지갈비 2
 
4.5%
등심 2
 
4.5%
한식 2
 
4.5%
소고기국밥 2
 
4.5%
Other values (19) 20
45.5%
2023-12-11T09:23:35.212432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
11.0%
16
 
8.4%
16
 
8.4%
, 14
 
7.3%
7
 
3.7%
6
 
3.1%
5
 
2.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
Other values (42) 91
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 156
81.7%
Space Separator 21
 
11.0%
Other Punctuation 14
 
7.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16
 
10.3%
16
 
10.3%
7
 
4.5%
6
 
3.8%
5
 
3.2%
5
 
3.2%
5
 
3.2%
5
 
3.2%
5
 
3.2%
5
 
3.2%
Other values (40) 81
51.9%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 156
81.7%
Common 35
 
18.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16
 
10.3%
16
 
10.3%
7
 
4.5%
6
 
3.8%
5
 
3.2%
5
 
3.2%
5
 
3.2%
5
 
3.2%
5
 
3.2%
5
 
3.2%
Other values (40) 81
51.9%
Common
ValueCountFrequency (%)
21
60.0%
, 14
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 156
81.7%
ASCII 35
 
18.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
60.0%
, 14
40.0%
Hangul
ValueCountFrequency (%)
16
 
10.3%
16
 
10.3%
7
 
4.5%
6
 
3.8%
5
 
3.2%
5
 
3.2%
5
 
3.2%
5
 
3.2%
5
 
3.2%
5
 
3.2%
Other values (40) 81
51.9%

소재지
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T09:23:35.458797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.434783
Min length19

Characters and Unicode

Total characters493
Distinct characters45
Distinct categories4 ?
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 row경상남도 의령군 의령읍 의병로 260-1
2nd row경상남도 의령군 의령읍 의병로20길 56
3rd row경상남도 의령군 의령읍 백산로 11
4th row경상남도 의령군 대의면 대의로 53-7
5th row경상남도 의령군 유곡면 청정로 2294
ValueCountFrequency (%)
경상남도 23
20.0%
의령군 23
20.0%
의령읍 14
 
12.2%
충익로 6
 
5.2%
대의면 3
 
2.6%
가례면 2
 
1.7%
의병로21길 2
 
1.7%
유곡면 2
 
1.7%
부림면 2
 
1.7%
11 2
 
1.7%
Other values (35) 36
31.3%
2023-12-11T09:23:35.808821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
18.7%
51
 
10.3%
38
 
7.7%
23
 
4.7%
23
 
4.7%
23
 
4.7%
23
 
4.7%
23
 
4.7%
23
 
4.7%
1 18
 
3.7%
Other values (35) 156
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 305
61.9%
Space Separator 92
 
18.7%
Decimal Number 83
 
16.8%
Dash Punctuation 13
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
51
16.7%
38
12.5%
23
7.5%
23
7.5%
23
7.5%
23
7.5%
23
7.5%
23
7.5%
14
 
4.6%
9
 
3.0%
Other values (23) 55
18.0%
Decimal Number
ValueCountFrequency (%)
1 18
21.7%
2 16
19.3%
5 11
13.3%
6 9
10.8%
4 9
10.8%
3 7
 
8.4%
7 6
 
7.2%
0 4
 
4.8%
9 2
 
2.4%
8 1
 
1.2%
Space Separator
ValueCountFrequency (%)
92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 305
61.9%
Common 188
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
51
16.7%
38
12.5%
23
7.5%
23
7.5%
23
7.5%
23
7.5%
23
7.5%
23
7.5%
14
 
4.6%
9
 
3.0%
Other values (23) 55
18.0%
Common
ValueCountFrequency (%)
92
48.9%
1 18
 
9.6%
2 16
 
8.5%
- 13
 
6.9%
5 11
 
5.9%
6 9
 
4.8%
4 9
 
4.8%
3 7
 
3.7%
7 6
 
3.2%
0 4
 
2.1%
Other values (2) 3
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 305
61.9%
ASCII 188
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
48.9%
1 18
 
9.6%
2 16
 
8.5%
- 13
 
6.9%
5 11
 
5.9%
6 9
 
4.8%
4 9
 
4.8%
3 7
 
3.7%
7 6
 
3.2%
0 4
 
2.1%
Other values (2) 3
 
1.6%
Hangul
ValueCountFrequency (%)
51
16.7%
38
12.5%
23
7.5%
23
7.5%
23
7.5%
23
7.5%
23
7.5%
23
7.5%
14
 
4.6%
9
 
3.0%
Other values (23) 55
18.0%

영업면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.3287
Minimum27.14
Maximum457.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T09:23:35.914103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27.14
5-th percentile28.83
Q169.475
median107.63
Q3150.63
95-th percentile395.543
Maximum457.44
Range430.3
Interquartile range (IQR)81.155

Descriptive statistics

Standard deviation109.47823
Coefficient of variation (CV)0.82111529
Kurtosis3.9203609
Mean133.3287
Median Absolute Deviation (MAD)42.2
Skewness1.9686606
Sum3066.56
Variance11985.483
MonotonicityNot monotonic
2023-12-11T09:23:36.003644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
151.43 1
 
4.3%
245.9 1
 
4.3%
149.83 1
 
4.3%
67.32 1
 
4.3%
457.44 1
 
4.3%
177.84 1
 
4.3%
41.71 1
 
4.3%
76.69 1
 
4.3%
28.0 1
 
4.3%
137.36 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
27.14 1
4.3%
28.0 1
4.3%
36.3 1
4.3%
41.71 1
4.3%
63.3 1
4.3%
67.32 1
4.3%
71.63 1
4.3%
76.69 1
4.3%
80.0 1
4.3%
86.0 1
4.3%
ValueCountFrequency (%)
457.44 1
4.3%
412.17 1
4.3%
245.9 1
4.3%
177.84 1
4.3%
172.31 1
4.3%
151.43 1
4.3%
149.83 1
4.3%
142.98 1
4.3%
137.36 1
4.3%
124.0 1
4.3%

전화번호
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing1
Missing (%)4.3%
Memory size316.0 B
2023-12-11T09:23:36.128205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters308
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

Unique22 ?
Unique (%)100.0%

Sample

1st row 055- 572-6363
2nd row 055- 573-8000
3rd row 055- 573-3647
4th row 055- 572-9400
5th row055 -573 -0503
ValueCountFrequency (%)
055 21
43.8%
573 2
 
4.2%
574 2
 
4.2%
573-0551 1
 
2.1%
574-6400 1
 
2.1%
573-4200 1
 
2.1%
5050 1
 
2.1%
572-2519 1
 
2.1%
572-3377 1
 
2.1%
573-2785 1
 
2.1%
Other values (16) 16
33.3%
2023-12-11T09:23:36.408499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 76
24.7%
44
14.3%
0 44
14.3%
- 44
14.3%
7 31
10.1%
3 21
 
6.8%
2 13
 
4.2%
4 11
 
3.6%
6 8
 
2.6%
9 6
 
1.9%
Other values (2) 10
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
71.4%
Space Separator 44
 
14.3%
Dash Punctuation 44
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 76
34.5%
0 44
20.0%
7 31
14.1%
3 21
 
9.5%
2 13
 
5.9%
4 11
 
5.0%
6 8
 
3.6%
9 6
 
2.7%
8 5
 
2.3%
1 5
 
2.3%
Space Separator
ValueCountFrequency (%)
44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 308
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 76
24.7%
44
14.3%
0 44
14.3%
- 44
14.3%
7 31
10.1%
3 21
 
6.8%
2 13
 
4.2%
4 11
 
3.6%
6 8
 
2.6%
9 6
 
1.9%
Other values (2) 10
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 76
24.7%
44
14.3%
0 44
14.3%
- 44
14.3%
7 31
10.1%
3 21
 
6.8%
2 13
 
4.2%
4 11
 
3.6%
6 8
 
2.6%
9 6
 
1.9%
Other values (2) 10
 
3.2%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-09-11
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-11
2nd row2023-09-11
3rd row2023-09-11
4th row2023-09-11
5th row2023-09-11

Common Values

ValueCountFrequency (%)
2023-09-11 23
100.0%

Length

2023-12-11T09:23:36.540454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:23:36.621071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-11 23
100.0%

Interactions

2023-12-11T09:23:34.029359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:23:36.722714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명주 취급음식소재지영업면적(제곱미터)전화번호
업소명1.0001.0001.0001.0001.000
주 취급음식1.0001.0001.0000.8731.000
소재지1.0001.0001.0001.0001.000
영업면적(제곱미터)1.0000.8731.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2023-12-11T09:23:34.126468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:23:34.225031image/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

업소명주 취급음식소재지영업면적(제곱미터)전화번호데이터기준일
06.3숯불촌돼지갈비, 삼겹살경상남도 의령군 의령읍 의병로 260-1151.43055- 572-63632023-09-11
160계 경남의령점쇠고기 구이류, 돼지고기 구이류경상남도 의령군 의령읍 의병로20길 56245.9055- 573-80002023-09-11
2강남가든돼지갈비경상남도 의령군 의령읍 백산로 11142.98055- 573-36472023-09-11
3금오암소한마당쇠고기갈비살, 등심경상남도 의령군 대의면 대의로 53-7412.17055- 572-94002023-09-11
4대교가든식당오리불고기경상남도 의령군 유곡면 청정로 229463.3055 -573 -05032023-09-11
5대백해물마을해물탕, 오리불고기경상남도 의령군 유곡면 함의로 2256172.31055- 574-49492023-09-11
6대의고개민물장어청국장, 된장찌개경상남도 의령군 대의면 한티로 245107.63<NA>2023-09-11
7돼지사랑돼지족발경상남도 의령군 의령읍 충익로 34-171.63055- 573-03312023-09-11
8목화반점중화요리류경상남도 의령군 의령읍 의병로 222-186.0055- 573-30662023-09-11
9문화식당한식경상남도 의령군 부림면 신번로 136-636.3055-574 -79972023-09-11
업소명주 취급음식소재지영업면적(제곱미터)전화번호데이터기준일
13오리궁오리불고기, 오리로스구이경상남도 의령군 의령읍 벽화로 565124.0055 -573 -61002023-09-11
14오서방소고기국밥된장 샤브샤브, 쇠고기 구이류경상남도 의령군 의령읍 충익로 45111.22055- 573-85012023-09-11
15의령소바소바경상남도 의령군 의령읍 의병로18길 3-5137.36055- 572-08852023-09-11
16종로식당소고기 국밥, 쇠고기 수육경상남도 의령군 의령읍 충익로 47-628.0055- 573-27852023-09-11
17중동식당소고기국밥, 쇠고기수육경상남도 의령군 의령읍 충익로 47-1476.69055- 572-33772023-09-11
18진성보쌈보쌈, 가마솥밥경상남도 의령군 의령읍 의병로21길 25-641.71055- 572-25192023-09-11
19청담한식경상남도 의령군 의령읍 충익로 50-21177.84055 -574 -50502023-09-11
20초가산장쇠고기갈비, 등심경상남도 의령군 가례면 홍의로 273457.44055- 573-42002023-09-11
21토요애한우촌(신태진식당)소고기국밥, 쇠고기수육경상남도 의령군 부림면 대한로 177167.32055- 574-64002023-09-11
22풀내음소바, 비빔밥경상남도 의령군 가례면 홍의로3길 11149.83055- 572-32672023-09-11