Overview

Dataset statistics

Number of variables6
Number of observations113
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory50.2 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description경상남도 양산시 관내 자원봉사 할인가맹점 현황에 관한 데이터입니다. 제공하는 항목은 업체명, 업종, 주소, 할인율 입니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15105657

Alerts

기준일 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:53:18.173279
Analysis finished2023-12-11 00:53:18.905448
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57
Minimum1
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T09:53:18.997121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.6
Q129
median57
Q385
95-th percentile107.4
Maximum113
Range112
Interquartile range (IQR)56

Descriptive statistics

Standard deviation32.76431
Coefficient of variation (CV)0.57481245
Kurtosis-1.2
Mean57
Median Absolute Deviation (MAD)28
Skewness0
Sum6441
Variance1073.5
MonotonicityStrictly increasing
2023-12-11T09:53:19.156387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
86 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
Other values (103) 103
91.2%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
113 1
0.9%
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%

업체명
Text

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T09:53:19.479308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length6.1061947
Min length2

Characters and Unicode

Total characters690
Distinct characters250
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

Unique113 ?
Unique (%)100.0%

Sample

1st row천평가구 백화점
2nd row꿈키움공방
3rd row맑음공방
4th row운정플라워
5th row웅상꽃화원
ValueCountFrequency (%)
천평가구 1
 
0.8%
진송추어탕 1
 
0.8%
대우양산서비스(주 1
 
0.8%
동양산농협양산부산대학교병원장례식장 1
 
0.8%
늘푸른기획 1
 
0.8%
하이얀 1
 
0.8%
기획인쇄 1
 
0.8%
고구려인쇄 1
 
0.8%
금강산 1
 
0.8%
광고회사 1
 
0.8%
Other values (119) 119
92.2%
2023-12-11T09:53:19.940827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 24
 
3.5%
산 18
 
2.6%
17
 
2.5%
양 16
 
2.3%
스 11
 
1.6%
아 10
 
1.4%
어 10
 
1.4%
리 9
 
1.3%
화 9
 
1.3%
동 9
 
1.3%
Other values (240) 557
80.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 655
94.9%
Space Separator 17
 
2.5%
Decimal Number 7
 
1.0%
Open Punctuation 5
 
0.7%
Close Punctuation 5
 
0.7%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 24
 
3.7%
산 18
 
2.7%
양 16
 
2.4%
스 11
 
1.7%
아 10
 
1.5%
어 10
 
1.5%
리 9
 
1.4%
화 9
 
1.4%
동 9
 
1.4%
과 8
 
1.2%
Other values (232) 531
81.1%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
0 2
28.6%
9 1
 
14.3%
8 1
 
14.3%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 655
94.9%
Common 35
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 24
 
3.7%
산 18
 
2.7%
양 16
 
2.4%
스 11
 
1.7%
아 10
 
1.5%
어 10
 
1.5%
리 9
 
1.4%
화 9
 
1.4%
동 9
 
1.4%
과 8
 
1.2%
Other values (232) 531
81.1%
Common
ValueCountFrequency (%)
17
48.6%
( 5
 
14.3%
) 5
 
14.3%
1 3
 
8.6%
0 2
 
5.7%
- 1
 
2.9%
9 1
 
2.9%
8 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 655
94.9%
ASCII 35
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 24
 
3.7%
산 18
 
2.7%
양 16
 
2.4%
스 11
 
1.7%
아 10
 
1.5%
어 10
 
1.5%
리 9
 
1.4%
화 9
 
1.4%
동 9
 
1.4%
과 8
 
1.2%
Other values (232) 531
81.1%
ASCII
ValueCountFrequency (%)
17
48.6%
( 5
 
14.3%
) 5
 
14.3%
1 3
 
8.6%
0 2
 
5.7%
- 1
 
2.9%
9 1
 
2.9%
8 1
 
2.9%

업종
Text

Distinct71
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T09:53:20.238122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length4.300885
Min length2

Characters and Unicode

Total characters486
Distinct characters119
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

Unique54 ?
Unique (%)47.8%

Sample

1st row가구
2nd row공예재료
3rd row소매업_DIY_소품_가구
4th row화원
5th row화원
ValueCountFrequency (%)
미용실 11
 
9.1%
자동차정비 7
 
5.8%
음식 6
 
5.0%
학원 5
 
4.1%
안경점 5
 
4.1%
인쇄 3
 
2.5%
치과 3
 
2.5%
및 2
 
1.7%
병원의료기관 2
 
1.7%
의료기 2
 
1.7%
Other values (67) 75
62.0%
2023-12-11T09:53:20.953662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 26
 
5.3%
_ 19
 
3.9%
자 15
 
3.1%
음 15
 
3.1%
용 14
 
2.9%
원 13
 
2.7%
매 13
 
2.7%
점 13
 
2.7%
실 12
 
2.5%
차 12
 
2.5%
Other values (109) 334
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 445
91.6%
Connector Punctuation 19
 
3.9%
Space Separator 8
 
1.6%
Dash Punctuation 5
 
1.0%
Close Punctuation 3
 
0.6%
Open Punctuation 3
 
0.6%
Uppercase Letter 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 26
 
5.8%
자 15
 
3.4%
음 15
 
3.4%
용 14
 
3.1%
원 13
 
2.9%
매 13
 
2.9%
점 13
 
2.9%
실 12
 
2.7%
차 12
 
2.7%
비 12
 
2.7%
Other values (101) 300
67.4%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
I 1
33.3%
Y 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 445
91.6%
Common 38
 
7.8%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 26
 
5.8%
자 15
 
3.4%
음 15
 
3.4%
용 14
 
3.1%
원 13
 
2.9%
매 13
 
2.9%
점 13
 
2.9%
실 12
 
2.7%
차 12
 
2.7%
비 12
 
2.7%
Other values (101) 300
67.4%
Common
ValueCountFrequency (%)
_ 19
50.0%
8
21.1%
- 5
 
13.2%
) 3
 
7.9%
( 3
 
7.9%
Latin
ValueCountFrequency (%)
D 1
33.3%
I 1
33.3%
Y 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 445
91.6%
ASCII 41
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 26
 
5.8%
자 15
 
3.4%
음 15
 
3.4%
용 14
 
3.1%
원 13
 
2.9%
매 13
 
2.9%
점 13
 
2.9%
실 12
 
2.7%
차 12
 
2.7%
비 12
 
2.7%
Other values (101) 300
67.4%
ASCII
ValueCountFrequency (%)
_ 19
46.3%
8
19.5%
- 5
 
12.2%
) 3
 
7.3%
( 3
 
7.3%
D 1
 
2.4%
I 1
 
2.4%
Y 1
 
2.4%

주소
Text

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T09:53:21.392278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length19.858407
Min length15

Characters and Unicode

Total characters2244
Distinct characters129
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 동면 석산3길 39
2nd row경상남도 양산시 물금읍 화합1길 32
3rd row경상남도 양산시 동면 금오7길 59
4th row경상남도 양산시 북안남6길 19
5th row경상남도 양산시 웅상대로 739
ValueCountFrequency (%)
경상남도 111
21.2%
양산시 111
21.2%
물금읍 21
 
4.0%
상북면 6
 
1.1%
중앙로 6
 
1.1%
동면 5
 
1.0%
양산대로 4
 
0.8%
9 4
 
0.8%
북안남1길 4
 
0.8%
북정로 4
 
0.8%
Other values (208) 248
47.3%
2023-12-11T09:53:21.984496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
412
18.4%
상 133
 
5.9%
양 132
 
5.9%
산 129
 
5.7%
남 126
 
5.6%
시 116
 
5.2%
경 114
 
5.1%
도 114
 
5.1%
1 106
 
4.7%
로 62
 
2.8%
Other values (119) 800
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1418
63.2%
Space Separator 412
 
18.4%
Decimal Number 393
 
17.5%
Dash Punctuation 19
 
0.8%
Other Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 133
 
9.4%
양 132
 
9.3%
산 129
 
9.1%
남 126
 
8.9%
시 116
 
8.2%
경 114
 
8.0%
도 114
 
8.0%
로 62
 
4.4%
길 52
 
3.7%
북 30
 
2.1%
Other values (105) 410
28.9%
Decimal Number
ValueCountFrequency (%)
1 106
27.0%
3 46
11.7%
2 46
11.7%
0 33
 
8.4%
5 31
 
7.9%
6 30
 
7.6%
9 30
 
7.6%
7 28
 
7.1%
4 24
 
6.1%
8 19
 
4.8%
Space Separator
ValueCountFrequency (%)
412
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1418
63.2%
Common 825
36.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 133
 
9.4%
양 132
 
9.3%
산 129
 
9.1%
남 126
 
8.9%
시 116
 
8.2%
경 114
 
8.0%
도 114
 
8.0%
로 62
 
4.4%
길 52
 
3.7%
북 30
 
2.1%
Other values (105) 410
28.9%
Common
ValueCountFrequency (%)
412
49.9%
1 106
 
12.8%
3 46
 
5.6%
2 46
 
5.6%
0 33
 
4.0%
5 31
 
3.8%
6 30
 
3.6%
9 30
 
3.6%
7 28
 
3.4%
4 24
 
2.9%
Other values (3) 39
 
4.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1418
63.2%
ASCII 826
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
412
49.9%
1 106
 
12.8%
3 46
 
5.6%
2 46
 
5.6%
0 33
 
4.0%
5 31
 
3.8%
6 30
 
3.6%
9 30
 
3.6%
7 28
 
3.4%
4 24
 
2.9%
Other values (4) 40
 
4.8%
Hangul
ValueCountFrequency (%)
상 133
 
9.4%
양 132
 
9.3%
산 129
 
9.1%
남 126
 
8.9%
시 116
 
8.2%
경 114
 
8.0%
도 114
 
8.0%
로 62
 
4.4%
길 52
 
3.7%
북 30
 
2.1%
Other values (105) 410
28.9%

할인율
Categorical

Distinct40
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
10퍼센트
30 
5퍼센트
21 
20퍼센트
13 
부속제외(공임의 10퍼센트)
 
4
10퍼센트(현금)
 
3
Other values (35)
42 

Length

Max length28
Median length24
Mean length8.2035398
Min length4

Unique

Unique29 ?
Unique (%)25.7%

Sample

1st row5퍼센트
2nd row10퍼센트
3rd row20퍼센트
4th row20퍼센트
5th row5퍼센트

Common Values

ValueCountFrequency (%)
10퍼센트 30
26.5%
5퍼센트 21
18.6%
20퍼센트 13
11.5%
부속제외(공임의 10퍼센트) 4
 
3.5%
10퍼센트(현금) 3
 
2.7%
5퍼센트(현금) 3
 
2.7%
20퍼센트(일부품목) 2
 
1.8%
화환 20퍼센트_일반화분 10퍼센트 2
 
1.8%
10퍼센트(공임에 한함_부품제외) 2
 
1.8%
5-10퍼센트 2
 
1.8%
Other values (30) 31
27.4%

Length

2023-12-11T09:53:22.171798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10퍼센트 39
28.3%
5퍼센트 23
16.7%
20퍼센트 14
 
10.1%
부속제외(공임의 4
 
2.9%
10퍼센트(현금 3
 
2.2%
5퍼센트(현금 3
 
2.2%
일부품목 3
 
2.2%
5-10퍼센트 2
 
1.4%
30퍼센트 2
 
1.4%
10퍼센트(주류제외 2
 
1.4%
Other values (38) 43
31.2%

기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2022-03-31 00:00:00
Maximum2022-03-31 00:00:00
2023-12-11T09:53:22.280303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:53:22.377265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T09:53:18.585130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:53:22.441143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종할인율
연번1.0000.9880.704
업종0.9881.0000.000
할인율0.7040.0001.000
2023-12-11T09:53:22.529372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번할인율
연번1.0000.250
할인율0.2501.000

Missing values

2023-12-11T09:53:18.733850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:53:18.856246image/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

연번업체명업종주소할인율기준일
01천평가구 백화점가구경상남도 양산시 동면 석산3길 395퍼센트2022-03-31
12꿈키움공방공예재료경상남도 양산시 물금읍 화합1길 3210퍼센트2022-03-31
23맑음공방소매업_DIY_소품_가구경상남도 양산시 동면 금오7길 5920퍼센트2022-03-31
34운정플라워화원경상남도 양산시 북안남6길 1920퍼센트2022-03-31
45웅상꽃화원화원경상남도 양산시 웅상대로 7395퍼센트2022-03-31
56꽃과함께꽃집경상남도 양산시 북안남6길3화환 20퍼센트_일반화분 10퍼센트2022-03-31
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