Overview

Dataset statistics

Number of variables4
Number of observations28
Missing cells4
Missing cells (%)3.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory37.7 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description인천광역시 계양구 관내 전화 권유 판매업 현황에 대한 데이터로, 연번, 법인명(또는 상호명), 사업자등록번호, 데이터기준일 등을 제공합니다.
URLhttps://www.data.go.kr/data/15039180/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 has 1 (3.6%) missing valuesMissing
법인또는상호 has 1 (3.6%) missing valuesMissing
사업자번호 has 1 (3.6%) missing valuesMissing
데이터기준일 has 1 (3.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:51:38.966979
Analysis finished2023-12-12 16:51:39.389228
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T01:51:39.450132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2023-12-13T01:51:39.570338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.6%
2 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
20 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%
18 1
3.6%

법인또는상호
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing1
Missing (%)3.6%
Memory size356.0 B
2023-12-13T01:51:39.733443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length8.0740741
Min length2

Characters and Unicode

Total characters218
Distinct characters99
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row토다기커뮤니케이션(나인스쿨인천지점)
2nd row주식회사 스마트결혼정보
3rd row티오티시스템(주)
4th row(주)에이치비텔레콤
5th row제이투 넷
ValueCountFrequency (%)
주식회사 8
 
20.0%
원뷰티코스메틱 2
 
5.0%
코스메틱 1
 
2.5%
이룸 1
 
2.5%
스토어 1
 
2.5%
키워드 1
 
2.5%
스마트플랜 1
 
2.5%
에스에이 1
 
2.5%
토다기커뮤니케이션(나인스쿨인천지점 1
 
2.5%
일원 1
 
2.5%
Other values (22) 22
55.0%
2023-12-13T01:51:40.009077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
6.0%
스 12
 
5.5%
주 11
 
5.0%
이 10
 
4.6%
사 9
 
4.1%
회 9
 
4.1%
식 8
 
3.7%
( 6
 
2.8%
) 6
 
2.8%
원 5
 
2.3%
Other values (89) 129
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 185
84.9%
Space Separator 13
 
6.0%
Uppercase Letter 8
 
3.7%
Open Punctuation 6
 
2.8%
Close Punctuation 6
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 12
 
6.5%
주 11
 
5.9%
이 10
 
5.4%
사 9
 
4.9%
회 9
 
4.9%
식 8
 
4.3%
원 5
 
2.7%
티 4
 
2.2%
에 4
 
2.2%
보 3
 
1.6%
Other values (78) 110
59.5%
Uppercase Letter
ValueCountFrequency (%)
P 1
12.5%
L 1
12.5%
M 1
12.5%
S 1
12.5%
I 1
12.5%
G 1
12.5%
N 1
12.5%
E 1
12.5%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 185
84.9%
Common 25
 
11.5%
Latin 8
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 12
 
6.5%
주 11
 
5.9%
이 10
 
5.4%
사 9
 
4.9%
회 9
 
4.9%
식 8
 
4.3%
원 5
 
2.7%
티 4
 
2.2%
에 4
 
2.2%
보 3
 
1.6%
Other values (78) 110
59.5%
Latin
ValueCountFrequency (%)
P 1
12.5%
L 1
12.5%
M 1
12.5%
S 1
12.5%
I 1
12.5%
G 1
12.5%
N 1
12.5%
E 1
12.5%
Common
ValueCountFrequency (%)
13
52.0%
( 6
24.0%
) 6
24.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 185
84.9%
ASCII 33
 
15.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
39.4%
( 6
18.2%
) 6
18.2%
P 1
 
3.0%
L 1
 
3.0%
M 1
 
3.0%
S 1
 
3.0%
I 1
 
3.0%
G 1
 
3.0%
N 1
 
3.0%
Hangul
ValueCountFrequency (%)
스 12
 
6.5%
주 11
 
5.9%
이 10
 
5.4%
사 9
 
4.9%
회 9
 
4.9%
식 8
 
4.3%
원 5
 
2.7%
티 4
 
2.2%
에 4
 
2.2%
보 3
 
1.6%
Other values (78) 110
59.5%

사업자번호
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing1
Missing (%)3.6%
Memory size356.0 B
2023-12-13T01:51:40.188036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters324
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

Unique27 ?
Unique (%)100.0%

Sample

1st row105-16-74002
2nd row122-86-33862
3rd row122-86-41213
4th row131-81-96911
5th row208-35-64594
ValueCountFrequency (%)
105-16-74002 1
 
3.7%
483-87-01791 1
 
3.7%
799-11-01236 1
 
3.7%
796-87-00363 1
 
3.7%
788-06-01227 1
 
3.7%
765-86-01264 1
 
3.7%
721-81-02079 1
 
3.7%
644-88-02107 1
 
3.7%
637-46-01060 1
 
3.7%
553-04-01985 1
 
3.7%
Other values (17) 17
63.0%
2023-12-13T01:51:40.456611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 54
16.7%
0 44
13.6%
1 38
11.7%
2 31
9.6%
3 28
8.6%
6 27
8.3%
8 27
8.3%
5 24
7.4%
7 21
 
6.5%
4 17
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
83.3%
Dash Punctuation 54
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
16.3%
1 38
14.1%
2 31
11.5%
3 28
10.4%
6 27
10.0%
8 27
10.0%
5 24
8.9%
7 21
7.8%
4 17
 
6.3%
9 13
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 54
16.7%
0 44
13.6%
1 38
11.7%
2 31
9.6%
3 28
8.6%
6 27
8.3%
8 27
8.3%
5 24
7.4%
7 21
 
6.5%
4 17
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 54
16.7%
0 44
13.6%
1 38
11.7%
2 31
9.6%
3 28
8.6%
6 27
8.3%
8 27
8.3%
5 24
7.4%
7 21
 
6.5%
4 17
 
5.2%

데이터기준일
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)3.7%
Missing1
Missing (%)3.6%
Memory size356.0 B
Minimum2023-05-16 00:00:00
Maximum2023-05-16 00:00:00
2023-12-13T01:51:40.563864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:40.657723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:51:39.074943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:51:40.776531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번법인또는상호사업자번호
연번1.0001.0001.000
법인또는상호1.0001.0001.000
사업자번호1.0001.0001.000

Missing values

2023-12-13T01:51:39.169605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:51:39.246582image/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.
2023-12-13T01:51:39.335017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번법인또는상호사업자번호데이터기준일
01토다기커뮤니케이션(나인스쿨인천지점)105-16-740022023-05-16
12주식회사 스마트결혼정보122-86-338622023-05-16
23티오티시스템(주)122-86-412132023-05-16
34(주)에이치비텔레콤131-81-969112023-05-16
45제이투 넷208-35-645942023-05-16
56승인정보통신212-35-376502023-05-16
67아토홀딩스 주식회사213-88-017292023-05-16
78다온219-30-643422023-05-16
89소리정보235-07-006772023-05-16
910키워드솔루션321-23-008092023-05-16
연번법인또는상호사업자번호데이터기준일
1819스마트플랜553-04-019852023-05-16
1920에스에이 코스메틱637-46-010602023-05-16
2021주식회사 아이에스엠(ISM)644-88-021072023-05-16
2122(주)리준721-81-020792023-05-16
2223주식회사 하이클린765-86-012642023-05-16
2324더 컴퍼니788-06-012272023-05-16
2425주식회사 유원제이피씨796-87-003632023-05-16
2526엘피(LP)서비스799-11-012362023-05-16
2627주식회사 다성네트워크885-88-010532023-05-16
27<NA><NA><NA><NA>