Overview

Dataset statistics

Number of variables7
Number of observations127
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory58.0 B

Variable types

Numeric1
Text2
Categorical4

Dataset

Description경상북도 구미시 관내에 등록된 방문판매업 현황으로 방문판매업체에 대한 관리번호, 상호명, 취급품목등을 제공하고 있습니다.
URLhttps://www.data.go.kr/data/3071730/fileData.do

Alerts

운영상태 has constant value ""Constant
데이터기준일자 has constant value ""Constant
번호 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:32:38.359783
Analysis finished2023-12-12 11:32:39.418786
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64
Minimum1
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T20:32:39.547306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.3
Q132.5
median64
Q395.5
95-th percentile120.7
Maximum127
Range126
Interquartile range (IQR)63

Descriptive statistics

Standard deviation36.805797
Coefficient of variation (CV)0.57509057
Kurtosis-1.2
Mean64
Median Absolute Deviation (MAD)32
Skewness0
Sum8128
Variance1354.6667
MonotonicityStrictly increasing
2023-12-12T20:32:39.829545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
Other values (117) 117
92.1%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%

상호명
Text

UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T20:32:40.313234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length9.6377953
Min length1

Characters and Unicode

Total characters1224
Distinct characters261
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)100.0%

Sample

1st row종근당건강 헬스벨스토리 구미공단점
2nd row힐스템구미봉곡점
3rd row알즈너 순정 대리점
4th row케이지모빌리티 구미남부판매대리점
5th row포크빌리지
ValueCountFrequency (%)
주식회사 12
 
6.0%
구미지사 4
 
2.0%
마임 4
 
2.0%
종근당건강 3
 
1.5%
헬스벨스토리 3
 
1.5%
주)르노코리아자동차 3
 
1.5%
건국우유 2
 
1.0%
주 2
 
1.0%
인셀덤 2
 
1.0%
구미대리점 2
 
1.0%
Other values (158) 163
81.5%
2023-12-12T20:32:41.004883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
6.0%
미 47
 
3.8%
구 45
 
3.7%
리 38
 
3.1%
사 37
 
3.0%
점 36
 
2.9%
대 31
 
2.5%
지 31
 
2.5%
주 27
 
2.2%
이 26
 
2.1%
Other values (251) 833
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1070
87.4%
Space Separator 73
 
6.0%
Uppercase Letter 24
 
2.0%
Open Punctuation 20
 
1.6%
Close Punctuation 20
 
1.6%
Lowercase Letter 12
 
1.0%
Decimal Number 3
 
0.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 47
 
4.4%
구 45
 
4.2%
리 38
 
3.6%
사 37
 
3.5%
점 36
 
3.4%
대 31
 
2.9%
지 31
 
2.9%
주 27
 
2.5%
이 26
 
2.4%
스 25
 
2.3%
Other values (223) 727
67.9%
Uppercase Letter
ValueCountFrequency (%)
S 5
20.8%
L 3
12.5%
G 3
12.5%
D 2
 
8.3%
I 2
 
8.3%
N 2
 
8.3%
A 2
 
8.3%
Y 2
 
8.3%
P 1
 
4.2%
C 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
y 2
16.7%
h 2
16.7%
r 1
8.3%
n 1
8.3%
e 1
8.3%
t 1
8.3%
w 1
8.3%
o 1
8.3%
k 1
8.3%
s 1
8.3%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1070
87.4%
Common 118
 
9.6%
Latin 36
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 47
 
4.4%
구 45
 
4.2%
리 38
 
3.6%
사 37
 
3.5%
점 36
 
3.4%
대 31
 
2.9%
지 31
 
2.9%
주 27
 
2.5%
이 26
 
2.4%
스 25
 
2.3%
Other values (223) 727
67.9%
Latin
ValueCountFrequency (%)
S 5
13.9%
L 3
 
8.3%
G 3
 
8.3%
D 2
 
5.6%
y 2
 
5.6%
h 2
 
5.6%
I 2
 
5.6%
N 2
 
5.6%
A 2
 
5.6%
Y 2
 
5.6%
Other values (11) 11
30.6%
Common
ValueCountFrequency (%)
73
61.9%
( 20
 
16.9%
) 20
 
16.9%
1 2
 
1.7%
4 1
 
0.8%
& 1
 
0.8%
. 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1070
87.4%
ASCII 154
 
12.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
47.4%
( 20
 
13.0%
) 20
 
13.0%
S 5
 
3.2%
L 3
 
1.9%
G 3
 
1.9%
D 2
 
1.3%
y 2
 
1.3%
h 2
 
1.3%
I 2
 
1.3%
Other values (18) 22
 
14.3%
Hangul
ValueCountFrequency (%)
미 47
 
4.4%
구 45
 
4.2%
리 38
 
3.6%
사 37
 
3.5%
점 36
 
3.4%
대 31
 
2.9%
지 31
 
2.9%
주 27
 
2.5%
이 26
 
2.4%
스 25
 
2.3%
Other values (223) 727
67.9%

운영상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
정상영업
127 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 127
100.0%

Length

2023-12-12T20:32:41.245906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:32:41.432693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 127
100.0%

법인구분
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
개인
101 
법인
26 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 101
79.5%
법인 26
 
20.5%

Length

2023-12-12T20:32:41.595050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:32:41.776628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 101
79.5%
법인 26
 
20.5%

소재지주소
Text

Distinct121
Distinct (%)96.0%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2023-12-12T20:32:42.249532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length29.150794
Min length15

Characters and Unicode

Total characters3673
Distinct characters180
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)94.4%

Sample

1st row경상북도 구미시 산호대로 233， 구미BOX IN 1층 116호 (공단동)
2nd row경상북도 구미시 봉곡북로3길 11， 1층 (봉곡동)
3rd row경상북도 구미시 송동로 154， 109동 702호 (도량동， 파크맨션)
4th row경상북도 구미시 수출대로 512 (황상동)
5th row경상북도 구미시 봉곡로15길 22， 1층 (봉곡동)
ValueCountFrequency (%)
경상북도 126
 
16.4%
구미시 126
 
16.4%
원평동 22
 
2.9%
1층 21
 
2.7%
2층 12
 
1.6%
3층 11
 
1.4%
봉곡동 9
 
1.2%
송정동 9
 
1.2%
송원동로 8
 
1.0%
101호 7
 
0.9%
Other values (295) 415
54.2%
2023-12-12T20:32:43.068642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
640
 
17.4%
1 157
 
4.3%
동 147
 
4.0%
구 145
 
3.9%
미 144
 
3.9%
상 144
 
3.9%
도 140
 
3.8%
시 135
 
3.7%
경 127
 
3.5%
북 127
 
3.5%
Other values (170) 1767
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2053
55.9%
Space Separator 640
 
17.4%
Decimal Number 621
 
16.9%
Close Punctuation 107
 
2.9%
Open Punctuation 107
 
2.9%
Other Punctuation 94
 
2.6%
Dash Punctuation 40
 
1.1%
Uppercase Letter 6
 
0.2%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 147
 
7.2%
구 145
 
7.1%
미 144
 
7.0%
상 144
 
7.0%
도 140
 
6.8%
시 135
 
6.6%
경 127
 
6.2%
북 127
 
6.2%
로 103
 
5.0%
길 62
 
3.0%
Other values (146) 779
37.9%
Decimal Number
ValueCountFrequency (%)
1 157
25.3%
2 97
15.6%
3 76
12.2%
0 65
10.5%
5 61
 
9.8%
4 51
 
8.2%
8 37
 
6.0%
6 32
 
5.2%
7 25
 
4.0%
9 20
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
X 1
16.7%
I 1
16.7%
N 1
16.7%
O 1
16.7%
B 1
16.7%
D 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
k 2
40.0%
t 2
40.0%
e 1
20.0%
Space Separator
ValueCountFrequency (%)
640
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Other Punctuation
ValueCountFrequency (%)
， 94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2053
55.9%
Common 1609
43.8%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 147
 
7.2%
구 145
 
7.1%
미 144
 
7.0%
상 144
 
7.0%
도 140
 
6.8%
시 135
 
6.6%
경 127
 
6.2%
북 127
 
6.2%
로 103
 
5.0%
길 62
 
3.0%
Other values (146) 779
37.9%
Common
ValueCountFrequency (%)
640
39.8%
1 157
 
9.8%
) 107
 
6.7%
( 107
 
6.7%
2 97
 
6.0%
， 94
 
5.8%
3 76
 
4.7%
0 65
 
4.0%
5 61
 
3.8%
4 51
 
3.2%
Other values (5) 154
 
9.6%
Latin
ValueCountFrequency (%)
k 2
18.2%
t 2
18.2%
X 1
9.1%
I 1
9.1%
N 1
9.1%
O 1
9.1%
B 1
9.1%
e 1
9.1%
D 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2053
55.9%
ASCII 1526
41.5%
None 94
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
640
41.9%
1 157
 
10.3%
) 107
 
7.0%
( 107
 
7.0%
2 97
 
6.4%
3 76
 
5.0%
0 65
 
4.3%
5 61
 
4.0%
4 51
 
3.3%
- 40
 
2.6%
Other values (13) 125
 
8.2%
Hangul
ValueCountFrequency (%)
동 147
 
7.2%
구 145
 
7.1%
미 144
 
7.0%
상 144
 
7.0%
도 140
 
6.8%
시 135
 
6.6%
경 127
 
6.2%
북 127
 
6.2%
로 103
 
5.0%
길 62
 
3.0%
Other values (146) 779
37.9%
None
ValueCountFrequency (%)
， 94
100.0%

취급품목
Categorical

Distinct30
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
기타
27 
건강식품 화장품/미용용품
15 
자동차/자동차용품
14 
건강식품
13 
교육/도서
10 
Other values (25)
48 

Length

Max length40
Median length22
Mean length7.9685039
Min length2

Unique

Unique18 ?
Unique (%)14.2%

Sample

1st row건강식품 화장품/미용용품
2nd row건강식품 화장품/미용용품 생활용품/세제류 기타
3rd row기타
4th row자동차/자동차용품
5th row기타

Common Values

ValueCountFrequency (%)
기타 27
21.3%
건강식품 화장품/미용용품 15
11.8%
자동차/자동차용품 14
11.0%
건강식품 13
10.2%
교육/도서 10
 
7.9%
화장품/미용용품 10
 
7.9%
건강식품 화장품/미용용품 기타 6
 
4.7%
통신기기 5
 
3.9%
통신기기 기타 3
 
2.4%
화장품/미용용품 생활용품/세제류 2
 
1.6%
Other values (20) 22
17.3%

Length

2023-12-12T20:32:43.333359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 47
24.7%
건강식품 42
22.1%
화장품/미용용품 38
20.0%
자동차/자동차용품 16
 
8.4%
교육/도서 12
 
6.3%
통신기기 12
 
6.3%
생활용품/세제류 8
 
4.2%
가전 6
 
3.2%
컴퓨터/사무용품 4
 
2.1%
의류/패션 3
 
1.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-06-22
127 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-22
2nd row2023-06-22
3rd row2023-06-22
4th row2023-06-22
5th row2023-06-22

Common Values

ValueCountFrequency (%)
2023-06-22 127
100.0%

Length

2023-12-12T20:32:43.537057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:32:43.690417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-22 127
100.0%

Interactions

2023-12-12T20:32:38.930548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:32:43.788090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호법인구분취급품목
번호1.0000.3000.478
법인구분0.3001.0000.606
취급품목0.4780.6061.000
2023-12-12T20:32:43.935076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
취급품목법인구분
취급품목1.0000.462
법인구분0.4621.000
2023-12-12T20:32:44.080711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호법인구분취급품목
번호1.0000.2220.168
법인구분0.2221.0000.462
취급품목0.1680.4621.000

Missing values

2023-12-12T20:32:39.141223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:32:39.339156image/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

번호상호명운영상태법인구분소재지주소취급품목데이터기준일자
01종근당건강 헬스벨스토리 구미공단점정상영업개인경상북도 구미시 산호대로 233， 구미BOX IN 1층 116호 (공단동)건강식품 화장품/미용용품2023-06-22
12힐스템구미봉곡점정상영업개인경상북도 구미시 봉곡북로3길 11， 1층 (봉곡동)건강식품 화장품/미용용품 생활용품/세제류 기타2023-06-22
23알즈너 순정 대리점정상영업개인경상북도 구미시 송동로 154， 109동 702호 (도량동， 파크맨션)기타2023-06-22
34케이지모빌리티 구미남부판매대리점정상영업개인경상북도 구미시 수출대로 512 (황상동)자동차/자동차용품2023-06-22
45포크빌리지정상영업개인경상북도 구미시 봉곡로15길 22， 1층 (봉곡동)기타2023-06-22
56문정상영업개인경상북도 구미시 형곡로41길 1， 1층 (형곡동)화장품/미용용품 기타2023-06-22
67다미정상영업개인경상북도 구미시 도봉로5길 13， 111동 404호 (봉곡동， 구미봉곡 뜨란채)기타2023-06-22
78주식회사 에너워터정상영업법인경상북도 구미시 1공단로 217(공단동)건강식품 생활용품/세제류 가전 통신기기 자동차/자동차용품 의류/패션 기타2023-06-22
89푸른유통정상영업개인경상북도 구미시 인동26길 65， 109동 806호 (진평동， 구미진평주공미래타운)건강식품 생활용품/세제류 기타2023-06-22
910금나라정상영업개인경상북도 구미시 형곡로3길 8-21， 103호 (형곡동， 동우주택)기타2023-06-22
번호상호명운영상태법인구분소재지주소취급품목데이터기준일자
117118생그린구미지사정상영업개인경상북도 구미시 상사서로 158-4 (사곡동)화장품/미용용품2023-06-22
118119기아자동차구미역대리점정상영업개인경상북도 구미시 봉곡동 539-2자동차/자동차용품2023-06-22
119120기아자동차구미공단대리점정상영업개인경상북도 구미시 광평동 55번지 11호자동차/자동차용품2023-06-22
120121현대지게차구미판매정상영업개인경상북도 구미시 비산로5길 45 (비산동)기타2023-06-22
121122영어숲윤선생영어교실구미도량교육센타도량봉곡어학원정상영업개인경상북도 구미시 봉곡동 13번지 5호 골든프라자 401호교육/도서2023-06-22
122123쉐보레 자동차 구미 송정 영업소정상영업개인경상북도 구미시 송정대로 48 (송정동)자동차/자동차용품2023-06-22
123124쉐보레구미중부대리점정상영업개인경상북도 구미시 수출대로 2 (광평동)자동차/자동차용품2023-06-22
124125현대도량판매대리점정상영업개인경상북도 구미시 야은로 265 (봉곡동)자동차/자동차용품2023-06-22
125126글로벌교육문화원정상영업개인경상북도 구미시 원평동 1041-16교육/도서 의류/패션2023-06-22
126127경북프뢰벨 주식회사정상영업법인경상북도 구미시 상사동로 58 (임은동)교육/도서2023-06-22