Overview

Dataset statistics

Number of variables6
Number of observations67
Missing cells6
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory51.0 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description경상남도 함양군 관내 배달전문점 현황으로 연번, 업소명, 업종, 업소주소, 전화번호, 데이터기준일자로 구성되어 있습니다.
Author경상남도 함양군
URLhttps://www.data.go.kr/data/15075822/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업종 is highly imbalanced (59.8%)Imbalance
전화번호 has 6 (9.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:31:30.437970
Analysis finished2023-12-12 05:31:31.083841
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T14:31:31.168019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.3
Q117.5
median34
Q350.5
95-th percentile63.7
Maximum67
Range66
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.485037
Coefficient of variation (CV)0.57308932
Kurtosis-1.2
Mean34
Median Absolute Deviation (MAD)17
Skewness0
Sum2278
Variance379.66667
MonotonicityStrictly increasing
2023-12-12T14:31:31.329046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
44 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
45 1
 
1.5%
43 1
 
1.5%
2 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%

업소명
Text

Distinct63
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T14:31:31.631951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.3283582
Min length2

Characters and Unicode

Total characters491
Distinct characters162
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)91.0%

Sample

1st row처갓집 양념치킨(안의점)
2nd row페리카나치킨
3rd row처갓집양념치킨 수동점
4th row네네치킨
5th row페리카나치킨
ValueCountFrequency (%)
함양점 14
 
13.6%
페리카나치킨 4
 
3.9%
처갓집 4
 
3.9%
치킨 4
 
3.9%
임실치즈피자 3
 
2.9%
양념치킨 3
 
2.9%
경남 2
 
1.9%
n 2
 
1.9%
피자 2
 
1.9%
두찜 1
 
1.0%
Other values (64) 64
62.1%
2023-12-12T14:31:32.338750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
7.3%
치 35
 
7.1%
킨 29
 
5.9%
양 26
 
5.3%
점 25
 
5.1%
함 20
 
4.1%
자 13
 
2.6%
피 11
 
2.2%
리 9
 
1.8%
나 8
 
1.6%
Other values (152) 279
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
88.2%
Space Separator 36
 
7.3%
Uppercase Letter 8
 
1.6%
Open Punctuation 5
 
1.0%
Close Punctuation 5
 
1.0%
Other Punctuation 2
 
0.4%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 35
 
8.1%
킨 29
 
6.7%
양 26
 
6.0%
점 25
 
5.8%
함 20
 
4.6%
자 13
 
3.0%
피 11
 
2.5%
리 9
 
2.1%
나 8
 
1.8%
이 7
 
1.6%
Other values (141) 250
57.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
37.5%
N 2
25.0%
C 1
 
12.5%
H 1
 
12.5%
Q 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
6 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
88.2%
Common 50
 
10.2%
Latin 8
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 35
 
8.1%
킨 29
 
6.7%
양 26
 
6.0%
점 25
 
5.8%
함 20
 
4.6%
자 13
 
3.0%
피 11
 
2.5%
리 9
 
2.1%
나 8
 
1.8%
이 7
 
1.6%
Other values (141) 250
57.7%
Common
ValueCountFrequency (%)
36
72.0%
( 5
 
10.0%
) 5
 
10.0%
. 2
 
4.0%
0 1
 
2.0%
6 1
 
2.0%
Latin
ValueCountFrequency (%)
B 3
37.5%
N 2
25.0%
C 1
 
12.5%
H 1
 
12.5%
Q 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
88.2%
ASCII 58
 
11.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
62.1%
( 5
 
8.6%
) 5
 
8.6%
B 3
 
5.2%
. 2
 
3.4%
N 2
 
3.4%
0 1
 
1.7%
6 1
 
1.7%
C 1
 
1.7%
H 1
 
1.7%
Hangul
ValueCountFrequency (%)
치 35
 
8.1%
킨 29
 
6.7%
양 26
 
6.0%
점 25
 
5.8%
함 20
 
4.6%
자 13
 
3.0%
피 11
 
2.5%
리 9
 
2.1%
나 8
 
1.8%
이 7
 
1.6%
Other values (141) 250
57.7%

업종
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
일반음식점
58 
휴게음식점
8 
즉석판매제조가공업
 
1

Length

Max length9
Median length5
Mean length5.0597015
Min length5

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 58
86.6%
휴게음식점 8
 
11.9%
즉석판매제조가공업 1
 
1.5%

Length

2023-12-12T14:31:32.705507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:32.906221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 58
86.6%
휴게음식점 8
 
11.9%
즉석판매제조가공업 1
 
1.5%

업소주소
Text

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T14:31:33.320629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length30
Mean length22.492537
Min length18

Characters and Unicode

Total characters1507
Distinct characters89
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

Unique65 ?
Unique (%)97.0%

Sample

1st row경상남도 함양군 안의면 광풍로 132
2nd row경상남도 함양군 서상면 서상로 290-2
3rd row경상남도 함양군 수동면 수동길 18
4th row경상남도 함양군 함양읍 용평3길 25-1
5th row경상남도 함양군 함양읍 용평길 5
ValueCountFrequency (%)
경상남도 67
18.7%
함양군 67
18.7%
함양읍 54
15.1%
함양로 16
 
4.5%
고운로 8
 
2.2%
1층 7
 
2.0%
필봉산길 6
 
1.7%
6 5
 
1.4%
안의면 5
 
1.4%
용평길 4
 
1.1%
Other values (102) 119
33.2%
2023-12-12T14:31:33.993115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
291
19.3%
함 140
 
9.3%
양 140
 
9.3%
1 79
 
5.2%
상 72
 
4.8%
남 68
 
4.5%
군 67
 
4.4%
경 67
 
4.4%
도 67
 
4.4%
읍 56
 
3.7%
Other values (79) 460
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 948
62.9%
Space Separator 291
 
19.3%
Decimal Number 226
 
15.0%
Dash Punctuation 23
 
1.5%
Other Punctuation 15
 
1.0%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
함 140
14.8%
양 140
14.8%
상 72
 
7.6%
남 68
 
7.2%
군 67
 
7.1%
경 67
 
7.1%
도 67
 
7.1%
읍 56
 
5.9%
길 34
 
3.6%
로 33
 
3.5%
Other values (64) 204
21.5%
Decimal Number
ValueCountFrequency (%)
1 79
35.0%
2 26
 
11.5%
6 23
 
10.2%
3 21
 
9.3%
5 15
 
6.6%
0 15
 
6.6%
7 13
 
5.8%
8 13
 
5.8%
4 12
 
5.3%
9 9
 
4.0%
Space Separator
ValueCountFrequency (%)
291
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 948
62.9%
Common 559
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
함 140
14.8%
양 140
14.8%
상 72
 
7.6%
남 68
 
7.2%
군 67
 
7.1%
경 67
 
7.1%
도 67
 
7.1%
읍 56
 
5.9%
길 34
 
3.6%
로 33
 
3.5%
Other values (64) 204
21.5%
Common
ValueCountFrequency (%)
291
52.1%
1 79
 
14.1%
2 26
 
4.7%
- 23
 
4.1%
6 23
 
4.1%
3 21
 
3.8%
5 15
 
2.7%
, 15
 
2.7%
0 15
 
2.7%
7 13
 
2.3%
Other values (5) 38
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 948
62.9%
ASCII 559
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
291
52.1%
1 79
 
14.1%
2 26
 
4.7%
- 23
 
4.1%
6 23
 
4.1%
3 21
 
3.8%
5 15
 
2.7%
, 15
 
2.7%
0 15
 
2.7%
7 13
 
2.3%
Other values (5) 38
 
6.8%
Hangul
ValueCountFrequency (%)
함 140
14.8%
양 140
14.8%
상 72
 
7.6%
남 68
 
7.2%
군 67
 
7.1%
경 67
 
7.1%
도 67
 
7.1%
읍 56
 
5.9%
길 34
 
3.6%
로 33
 
3.5%
Other values (64) 204
21.5%

전화번호
Text

MISSING 

Distinct59
Distinct (%)96.7%
Missing6
Missing (%)9.0%
Memory size668.0 B
2023-12-12T14:31:34.336552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters732
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

Unique57 ?
Unique (%)93.4%

Sample

1st row055-962-0185
2nd row055-962-0033
3rd row055-963-2292
4th row055-963-6446
5th row055-963-7474
ValueCountFrequency (%)
055-962-7447 2
 
3.3%
055-963-7474 2
 
3.3%
055-963-8814 1
 
1.6%
055-964-7771 1
 
1.6%
055-962-9233 1
 
1.6%
055-962-8227 1
 
1.6%
055-962-0185 1
 
1.6%
055-964-3737 1
 
1.6%
055-964-4988 1
 
1.6%
055-962-8809 1
 
1.6%
Other values (49) 49
80.3%
2023-12-12T14:31:34.837493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 129
17.6%
- 122
16.7%
0 95
13.0%
9 94
12.8%
6 78
10.7%
2 58
7.9%
3 45
 
6.1%
4 38
 
5.2%
8 31
 
4.2%
7 27
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 610
83.3%
Dash Punctuation 122
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 129
21.1%
0 95
15.6%
9 94
15.4%
6 78
12.8%
2 58
9.5%
3 45
 
7.4%
4 38
 
6.2%
8 31
 
5.1%
7 27
 
4.4%
1 15
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 732
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 129
17.6%
- 122
16.7%
0 95
13.0%
9 94
12.8%
6 78
10.7%
2 58
7.9%
3 45
 
6.1%
4 38
 
5.2%
8 31
 
4.2%
7 27
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 732
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 129
17.6%
- 122
16.7%
0 95
13.0%
9 94
12.8%
6 78
10.7%
2 58
7.9%
3 45
 
6.1%
4 38
 
5.2%
8 31
 
4.2%
7 27
 
3.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-09-21
67 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-21
2nd row2023-09-21
3rd row2023-09-21
4th row2023-09-21
5th row2023-09-21

Common Values

ValueCountFrequency (%)
2023-09-21 67
100.0%

Length

2023-12-12T14:31:35.019303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:35.132347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-21 67
100.0%

Interactions

2023-12-12T14:31:30.777889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:31:35.212051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명업종업소주소전화번호
연번1.0000.9370.5590.9310.887
업소명0.9371.0001.0001.0001.000
업종0.5591.0001.0001.0001.000
업소주소0.9311.0001.0001.0001.000
전화번호0.8871.0001.0001.0001.000
2023-12-12T14:31:35.368899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.377
업종0.3771.000

Missing values

2023-12-12T14:31:30.919733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:31:31.041352image/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

연번업소명업종업소주소전화번호데이터기준일자
01처갓집 양념치킨(안의점)일반음식점경상남도 함양군 안의면 광풍로 132055-962-01852023-09-21
12페리카나치킨일반음식점경상남도 함양군 서상면 서상로 290-2055-962-00332023-09-21
23처갓집양념치킨 수동점일반음식점경상남도 함양군 수동면 수동길 18055-963-22922023-09-21
34네네치킨일반음식점경상남도 함양군 함양읍 용평3길 25-1055-963-64462023-09-21
45페리카나치킨일반음식점경상남도 함양군 함양읍 용평길 5055-963-74742023-09-21
56처갓집 양념치킨 서상점일반음식점경상남도 함양군 서상면 서상로 263055-963-88342023-09-21
67페리카나치킨일반음식점경상남도 함양군 안의면 강변로 321055-964-11062023-09-21
78호식이두마리치킨일반음식점경상남도 함양군 함양읍 한들로 101, 함양시민연대055-963-77792023-09-21
89BBQ치킨일반음식점경상남도 함양군 함양읍 고운로 65055-963-97772023-09-21
910지코바숯불양념치킨일반음식점경상남도 함양군 함양읍 중앙시장길 11055-962-78782023-09-21
연번업소명업종업소주소전화번호데이터기준일자
5758유가네 닭갈비 함양점일반음식점경상남도 함양군 함양읍 고운로 60055-962-00632023-09-21
5859오꾸닭일반음식점경상남도 함양군 함양읍 필봉산길 101-31055-963-99222023-09-21
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6061불스떡볶이일반음식점경상남도 함양군 함양읍 용평길 21055-962-39002023-09-21
6162신전떡볶이일반음식점경상남도 함양군 함양읍 함양로 1156-0055-964-77712023-09-21
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6364롯데리아(함양점)휴게음식점경상남도 함양군 함양읍 고운로 52055-962-82272023-09-21
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