Overview

Dataset statistics

Number of variables4
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory34.9 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description인천광역시 계양구 관내 방문판매업 현황에 대한 데이터로, 연번, 법인명(또는 상호명), 사업자등록번호, 데이터기준일 등을 제공합니다.
URLhttps://www.data.go.kr/data/15039181/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
사업자번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:57:22.837028
Analysis finished2023-12-11 22:57:23.256477
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T07:57:23.328852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.5
Q118.5
median36
Q353.5
95-th percentile67.5
Maximum71
Range70
Interquartile range (IQR)35

Descriptive statistics

Standard deviation20.639767
Coefficient of variation (CV)0.57332687
Kurtosis-1.2
Mean36
Median Absolute Deviation (MAD)18
Skewness0
Sum2556
Variance426
MonotonicityStrictly increasing
2023-12-12T07:57:23.487932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
2 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%

법인또는상호
Text

Distinct70
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T07:57:23.742636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14
Mean length8.6760563
Min length2

Characters and Unicode

Total characters616
Distinct characters195
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

Unique69 ?
Unique (%)97.2%

Sample

1st row코웨이 계양베스트대리점
2nd row홈닥터
3rd row월드씨앗나라
4th row백옥생화장품계양지사
5th row현대작전판매대리점
ValueCountFrequency (%)
주식회사 8
 
7.3%
에치와이 3
 
2.7%
계양대리점 3
 
2.7%
계양점 3
 
2.7%
대리점 2
 
1.8%
우리아이교육 2
 
1.8%
보청기(계양센터 1
 
0.9%
쌍용자동차 1
 
0.9%
현대계양신도시판매대리점 1
 
0.9%
이룸 1
 
0.9%
Other values (85) 85
77.3%
2023-12-12T07:57:24.111062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
 
6.3%
이 23
 
3.7%
점 21
 
3.4%
리 21
 
3.4%
양 19
 
3.1%
계 19
 
3.1%
대 18
 
2.9%
사 14
 
2.3%
주 12
 
1.9%
스 12
 
1.9%
Other values (185) 418
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 540
87.7%
Space Separator 39
 
6.3%
Lowercase Letter 14
 
2.3%
Open Punctuation 9
 
1.5%
Close Punctuation 9
 
1.5%
Uppercase Letter 3
 
0.5%
Other Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 23
 
4.3%
점 21
 
3.9%
리 21
 
3.9%
양 19
 
3.5%
계 19
 
3.5%
대 18
 
3.3%
사 14
 
2.6%
주 12
 
2.2%
스 12
 
2.2%
보 11
 
2.0%
Other values (167) 370
68.5%
Lowercase Letter
ValueCountFrequency (%)
b 3
21.4%
e 2
14.3%
c 2
14.3%
i 1
 
7.1%
t 1
 
7.1%
m 1
 
7.1%
s 1
 
7.1%
o 1
 
7.1%
l 1
 
7.1%
u 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
Y 1
33.3%
B 1
33.3%
R 1
33.3%
Space Separator
ValueCountFrequency (%)
39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 540
87.7%
Common 59
 
9.6%
Latin 17
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 23
 
4.3%
점 21
 
3.9%
리 21
 
3.9%
양 19
 
3.5%
계 19
 
3.5%
대 18
 
3.3%
사 14
 
2.6%
주 12
 
2.2%
스 12
 
2.2%
보 11
 
2.0%
Other values (167) 370
68.5%
Latin
ValueCountFrequency (%)
b 3
17.6%
e 2
11.8%
c 2
11.8%
Y 1
 
5.9%
B 1
 
5.9%
R 1
 
5.9%
i 1
 
5.9%
t 1
 
5.9%
m 1
 
5.9%
s 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
39
66.1%
( 9
 
15.3%
) 9
 
15.3%
& 1
 
1.7%
7 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 540
87.7%
ASCII 76
 
12.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
51.3%
( 9
 
11.8%
) 9
 
11.8%
b 3
 
3.9%
e 2
 
2.6%
c 2
 
2.6%
Y 1
 
1.3%
& 1
 
1.3%
B 1
 
1.3%
7 1
 
1.3%
Other values (8) 8
 
10.5%
Hangul
ValueCountFrequency (%)
이 23
 
4.3%
점 21
 
3.9%
리 21
 
3.9%
양 19
 
3.5%
계 19
 
3.5%
대 18
 
3.3%
사 14
 
2.6%
주 12
 
2.2%
스 12
 
2.2%
보 11
 
2.0%
Other values (167) 370
68.5%

사업자번호
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T07:57:24.363858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters852
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

Unique71 ?
Unique (%)100.0%

Sample

1st row101-30-74743
2nd row105-06-81561
3rd row117-05-31941
4th row122-02-30981
5th row122-03-45064
ValueCountFrequency (%)
101-30-74743 1
 
1.4%
572-44-00891 1
 
1.4%
557-85-02078 1
 
1.4%
501-11-70757 1
 
1.4%
501-08-85492 1
 
1.4%
459-14-00081 1
 
1.4%
409-33-60353 1
 
1.4%
370-28-00029 1
 
1.4%
354-19-01441 1
 
1.4%
249-33-00826 1
 
1.4%
Other values (61) 61
85.9%
2023-12-12T07:57:24.764451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 142
16.7%
0 120
14.1%
2 108
12.7%
1 98
11.5%
3 71
8.3%
5 59
6.9%
4 58
6.8%
8 54
 
6.3%
7 51
 
6.0%
6 48
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 710
83.3%
Dash Punctuation 142
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 120
16.9%
2 108
15.2%
1 98
13.8%
3 71
10.0%
5 59
8.3%
4 58
8.2%
8 54
7.6%
7 51
7.2%
6 48
 
6.8%
9 43
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 852
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 142
16.7%
0 120
14.1%
2 108
12.7%
1 98
11.5%
3 71
8.3%
5 59
6.9%
4 58
6.8%
8 54
 
6.3%
7 51
 
6.0%
6 48
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 142
16.7%
0 120
14.1%
2 108
12.7%
1 98
11.5%
3 71
8.3%
5 59
6.9%
4 58
6.8%
8 54
 
6.3%
7 51
 
6.0%
6 48
 
5.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-05-16
71 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-16
2nd row2023-05-16
3rd row2023-05-16
4th row2023-05-16
5th row2023-05-16

Common Values

ValueCountFrequency (%)
2023-05-16 71
100.0%

Length

2023-12-12T07:57:24.903939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:57:25.045015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-16 71
100.0%

Interactions

2023-12-12T07:57:23.025832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:57:25.127002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번법인또는상호사업자번호
연번1.0001.0001.000
법인또는상호1.0001.0001.000
사업자번호1.0001.0001.000

Missing values

2023-12-12T07:57:23.132715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:57:23.223206image/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

연번법인또는상호사업자번호데이터기준일
01코웨이 계양베스트대리점101-30-747432023-05-16
12홈닥터105-06-815612023-05-16
23월드씨앗나라117-05-319412023-05-16
34백옥생화장품계양지사122-02-309812023-05-16
45현대작전판매대리점122-03-450642023-05-16
56건국우유 계양대리점122-04-328002023-05-16
67종근당 건강 헬스벨스토리 인천작전점122-06-445572023-05-16
78김정문알로에 작전지점122-06-837162023-05-16
89대림유통122-08-589102023-05-16
910남양유업 계양남부가정대리점122-10-546542023-05-16
연번법인또는상호사업자번호데이터기준일
6162보람유통691-01-029842023-05-16
6263신화아이씨티 주식회사714-87-001912023-05-16
6364에스케이쉴더스(주) 북인천지점715-85-017722023-05-16
6465핵산바이오 계양점729-18-001592023-05-16
6566웰빙홈쇼핑740-44-005532023-05-16
6667참편한 보청기(계양센터)748-28-013332023-05-16
6768주식회사 하이클린765-86-012642023-05-16
6869인셀텀 신화 대리점774-19-008882023-05-16
6970주식회사 유원제이피씨796-87-003632023-05-16
7071주식회사 다성네트워크885-88-010532023-05-16