Overview

Dataset statistics

Number of variables6
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory52.5 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description인천광역시 서구의 전화권유판매업현황(관리 번호, 법인 또는 상호, 소재지 주소, 취급 품목 등)을 포함하는 데이터입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15042343&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
번호 has unique valuesUnique
관리번호 has unique valuesUnique
법인또는상호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:31:37.437631
Analysis finished2024-03-18 05:31:39.503146
Duration2.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-18T14:31:39.568405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.85
Q110.25
median19.5
Q328.75
95-th percentile36.15
Maximum38
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation11.113055
Coefficient of variation (CV)0.56990028
Kurtosis-1.2
Mean19.5
Median Absolute Deviation (MAD)9.5
Skewness0
Sum741
Variance123.5
MonotonicityStrictly increasing
2024-03-18T14:31:39.676770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 1
 
2.6%
30 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
31 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%
29 1
2.6%

관리번호
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-18T14:31:39.864954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.842105
Min length8

Characters and Unicode

Total characters526
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row2022-인천서구-0012
2nd row2022-인천서구-0011
3rd row2022-인천서구-0010
4th row2022-인천서구-0009
5th row2022-인천서구-0008
ValueCountFrequency (%)
2022-인천서구-0012 1
 
2.6%
2019-인천서구-0013 1
 
2.6%
2012-인천서구-0004 1
 
2.6%
2020-인천서구-0004 1
 
2.6%
2020-인천서구-0003 1
 
2.6%
2020-인천서구-0001 1
 
2.6%
2019-인천서구-0017 1
 
2.6%
2019-인천서구-0016 1
 
2.6%
2019-인천서구-0014 1
 
2.6%
2019-인천서구-0003 1
 
2.6%
Other values (28) 28
73.7%
2024-03-18T14:31:40.153584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 150
28.5%
2 78
14.8%
- 75
14.3%
서 38
 
7.2%
구 38
 
7.2%
인 37
 
7.0%
천 37
 
7.0%
1 31
 
5.9%
9 8
 
1.5%
7 7
 
1.3%
Other values (5) 27
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 301
57.2%
Other Letter 150
28.5%
Dash Punctuation 75
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 150
49.8%
2 78
25.9%
1 31
 
10.3%
9 8
 
2.7%
7 7
 
2.3%
8 6
 
2.0%
6 6
 
2.0%
3 6
 
2.0%
4 5
 
1.7%
5 4
 
1.3%
Other Letter
ValueCountFrequency (%)
서 38
25.3%
구 38
25.3%
인 37
24.7%
천 37
24.7%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 376
71.5%
Hangul 150
 
28.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 150
39.9%
2 78
20.7%
- 75
19.9%
1 31
 
8.2%
9 8
 
2.1%
7 7
 
1.9%
8 6
 
1.6%
6 6
 
1.6%
3 6
 
1.6%
4 5
 
1.3%
Hangul
ValueCountFrequency (%)
서 38
25.3%
구 38
25.3%
인 37
24.7%
천 37
24.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 376
71.5%
Hangul 150
 
28.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 150
39.9%
2 78
20.7%
- 75
19.9%
1 31
 
8.2%
9 8
 
2.1%
7 7
 
1.9%
8 6
 
1.6%
6 6
 
1.6%
3 6
 
1.6%
4 5
 
1.3%
Hangul
ValueCountFrequency (%)
서 38
25.3%
구 38
25.3%
인 37
24.7%
천 37
24.7%

법인또는상호
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-18T14:31:40.338770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length13
Mean length9.0526316
Min length3

Characters and Unicode

Total characters344
Distinct characters130
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

Unique38 ?
Unique (%)100.0%

Sample

1st row(주) 투썬컴퍼니
2nd row주식회사 이오스케이렌탈
3rd row주식회사 정진비투비
4th row위드 앤 비즈
5th row신라통신
ValueCountFrequency (%)
주식회사 13
 
20.3%
주 3
 
4.7%
이오스케이렌탈 2
 
3.1%
inc 2
 
3.1%
아이언애드 1
 
1.6%
위트윈 1
 
1.6%
하나홀딩스 1
 
1.6%
주)유니스타 1
 
1.6%
하누카 1
 
1.6%
플레이스 1
 
1.6%
Other values (38) 38
59.4%
2024-03-18T14:31:40.636697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
7.6%
주 18
 
5.2%
스 15
 
4.4%
사 13
 
3.8%
회 13
 
3.8%
식 13
 
3.8%
이 12
 
3.5%
( 10
 
2.9%
) 10
 
2.9%
비 6
 
1.7%
Other values (120) 208
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 250
72.7%
Uppercase Letter 33
 
9.6%
Space Separator 26
 
7.6%
Open Punctuation 10
 
2.9%
Close Punctuation 10
 
2.9%
Lowercase Letter 9
 
2.6%
Decimal Number 3
 
0.9%
Other Punctuation 2
 
0.6%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 18
 
7.2%
스 15
 
6.0%
사 13
 
5.2%
회 13
 
5.2%
식 13
 
5.2%
이 12
 
4.8%
비 6
 
2.4%
신 6
 
2.4%
니 5
 
2.0%
통 5
 
2.0%
Other values (88) 144
57.6%
Uppercase Letter
ValueCountFrequency (%)
S 4
12.1%
N 4
12.1%
E 4
12.1%
I 3
 
9.1%
K 2
 
6.1%
M 2
 
6.1%
B 2
 
6.1%
R 2
 
6.1%
G 1
 
3.0%
F 1
 
3.0%
Other values (8) 8
24.2%
Lowercase Letter
ValueCountFrequency (%)
n 2
22.2%
o 2
22.2%
c 1
11.1%
u 1
11.1%
i 1
11.1%
t 1
11.1%
l 1
11.1%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 251
73.0%
Common 51
 
14.8%
Latin 42
 
12.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 18
 
7.2%
스 15
 
6.0%
사 13
 
5.2%
회 13
 
5.2%
식 13
 
5.2%
이 12
 
4.8%
비 6
 
2.4%
신 6
 
2.4%
니 5
 
2.0%
통 5
 
2.0%
Other values (89) 145
57.8%
Latin
ValueCountFrequency (%)
S 4
 
9.5%
N 4
 
9.5%
E 4
 
9.5%
I 3
 
7.1%
K 2
 
4.8%
M 2
 
4.8%
n 2
 
4.8%
B 2
 
4.8%
o 2
 
4.8%
R 2
 
4.8%
Other values (15) 15
35.7%
Common
ValueCountFrequency (%)
26
51.0%
( 10
 
19.6%
) 10
 
19.6%
1 2
 
3.9%
. 2
 
3.9%
4 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 250
72.7%
ASCII 93
 
27.0%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
28.0%
( 10
 
10.8%
) 10
 
10.8%
S 4
 
4.3%
N 4
 
4.3%
E 4
 
4.3%
I 3
 
3.2%
K 2
 
2.2%
1 2
 
2.2%
M 2
 
2.2%
Other values (21) 26
28.0%
Hangul
ValueCountFrequency (%)
주 18
 
7.2%
스 15
 
6.0%
사 13
 
5.2%
회 13
 
5.2%
식 13
 
5.2%
이 12
 
4.8%
비 6
 
2.4%
신 6
 
2.4%
니 5
 
2.0%
통 5
 
2.0%
Other values (88) 144
57.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지주소
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-18T14:31:40.872638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length35.763158
Min length22

Characters and Unicode

Total characters1359
Distinct characters141
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

Unique36 ?
Unique (%)94.7%

Sample

1st row인천광역시 서구 크리스탈로102번길 25, 364동 1601호 (청라동, 청라푸르지오아파트)
2nd row인천광역시 서구 건지로97번길 33-33, 301호 일부 (석남동)
3rd row인천광역시 서구 염곡로15번길 32, 주식회사 새롬디자인 3층 2호 (가좌동)
4th row인천광역시 서구 경서로32번길 1, 건창홈타운 207호 (경서동)
5th row인천광역시 서구 완정로 179, 제이원검단메디컬프라자 6층 391호 (왕길동)
ValueCountFrequency (%)
인천광역시 38
 
14.5%
서구 38
 
14.5%
청라동 10
 
3.8%
석남동 10
 
3.8%
석남로 5
 
1.9%
121 5
 
1.9%
가좌동 5
 
1.9%
4층 4
 
1.5%
왕길동 4
 
1.5%
441 4
 
1.5%
Other values (117) 139
53.1%
2024-03-18T14:31:41.262344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
 
16.5%
1 54
 
4.0%
동 44
 
3.2%
서 43
 
3.2%
, 40
 
2.9%
인 39
 
2.9%
광 39
 
2.9%
천 39
 
2.9%
로 38
 
2.8%
) 38
 
2.8%
Other values (131) 761
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 759
55.8%
Decimal Number 238
 
17.5%
Space Separator 224
 
16.5%
Other Punctuation 40
 
2.9%
Close Punctuation 38
 
2.8%
Open Punctuation 38
 
2.8%
Uppercase Letter 16
 
1.2%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 44
 
5.8%
서 43
 
5.7%
인 39
 
5.1%
광 39
 
5.1%
천 39
 
5.1%
로 38
 
5.0%
역 38
 
5.0%
시 38
 
5.0%
구 38
 
5.0%
라 31
 
4.1%
Other values (111) 372
49.0%
Decimal Number
ValueCountFrequency (%)
1 54
22.7%
2 38
16.0%
3 33
13.9%
0 29
12.2%
4 21
 
8.8%
9 15
 
6.3%
6 14
 
5.9%
7 14
 
5.9%
5 13
 
5.5%
8 7
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
T 6
37.5%
K 6
37.5%
B 2
 
12.5%
G 1
 
6.2%
J 1
 
6.2%
Space Separator
ValueCountFrequency (%)
224
100.0%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 759
55.8%
Common 584
43.0%
Latin 16
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 44
 
5.8%
서 43
 
5.7%
인 39
 
5.1%
광 39
 
5.1%
천 39
 
5.1%
로 38
 
5.0%
역 38
 
5.0%
시 38
 
5.0%
구 38
 
5.0%
라 31
 
4.1%
Other values (111) 372
49.0%
Common
ValueCountFrequency (%)
224
38.4%
1 54
 
9.2%
, 40
 
6.8%
) 38
 
6.5%
( 38
 
6.5%
2 38
 
6.5%
3 33
 
5.7%
0 29
 
5.0%
4 21
 
3.6%
9 15
 
2.6%
Other values (5) 54
 
9.2%
Latin
ValueCountFrequency (%)
T 6
37.5%
K 6
37.5%
B 2
 
12.5%
G 1
 
6.2%
J 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 759
55.8%
ASCII 600
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
224
37.3%
1 54
 
9.0%
, 40
 
6.7%
) 38
 
6.3%
( 38
 
6.3%
2 38
 
6.3%
3 33
 
5.5%
0 29
 
4.8%
4 21
 
3.5%
9 15
 
2.5%
Other values (10) 70
 
11.7%
Hangul
ValueCountFrequency (%)
동 44
 
5.8%
서 43
 
5.7%
인 39
 
5.1%
광 39
 
5.1%
천 39
 
5.1%
로 38
 
5.0%
역 38
 
5.0%
시 38
 
5.0%
구 38
 
5.0%
라 31
 
4.1%
Other values (111) 372
49.0%

취급품목
Categorical

Distinct13
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
기타
22 
통신기기
3 
생활용품/세제류 가전 기타
 
2
화장품/미용용품
 
2
가전
 
1
Other values (8)
8 

Length

Max length69
Median length2
Mean length6.7894737
Min length2

Unique

Unique9 ?
Unique (%)23.7%

Sample

1st row기타
2nd row가전
3rd row기타
4th row통신기기
5th row기타

Common Values

ValueCountFrequency (%)
기타 22
57.9%
통신기기 3
 
7.9%
생활용품/세제류 가전 기타 2
 
5.3%
화장품/미용용품 2
 
5.3%
가전 1
 
2.6%
통신기기 자동차/자동차용품 1
 
2.6%
컴퓨터/사무용품 기타 1
 
2.6%
가전 건강식품 화장품/미용용품 컴퓨터/사무용품 교육/도서 통신기기 생활용품/세제류 자동차/자동차용품 회원권/상품권 의류/패션 1
 
2.6%
건강식품 화장품/미용용품 생활용품/세제류 의류/패션 1
 
2.6%
컴퓨터/사무용품 통신기기 1
 
2.6%
Other values (3) 3
 
7.9%

Length

2024-03-18T14:31:41.405736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 27
45.0%
통신기기 9
 
15.0%
가전 5
 
8.3%
생활용품/세제류 4
 
6.7%
화장품/미용용품 4
 
6.7%
컴퓨터/사무용품 3
 
5.0%
자동차/자동차용품 2
 
3.3%
건강식품 2
 
3.3%
의류/패션 2
 
3.3%
교육/도서 1
 
1.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2022-09-01
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-01
2nd row2022-09-01
3rd row2022-09-01
4th row2022-09-01
5th row2022-09-01

Common Values

ValueCountFrequency (%)
2022-09-01 38
100.0%

Length

2024-03-18T14:31:41.513358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:31:41.595266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-01 38
100.0%

Interactions

2024-03-18T14:31:39.197878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:31:41.648644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관리번호법인또는상호소재지주소취급품목
번호1.0001.0001.0001.0000.000
관리번호1.0001.0001.0001.0001.000
법인또는상호1.0001.0001.0001.0001.000
소재지주소1.0001.0001.0001.0000.821
취급품목0.0001.0001.0000.8211.000
2024-03-18T14:31:41.735482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호취급품목
번호1.0000.000
취급품목0.0001.000

Missing values

2024-03-18T14:31:39.354415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:31:39.454592image/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

번호관리번호법인또는상호소재지주소취급품목데이터기준일자
012022-인천서구-0012(주) 투썬컴퍼니인천광역시 서구 크리스탈로102번길 25, 364동 1601호 (청라동, 청라푸르지오아파트)기타2022-09-01
122022-인천서구-0011주식회사 이오스케이렌탈인천광역시 서구 건지로97번길 33-33, 301호 일부 (석남동)가전2022-09-01
232022-인천서구-0010주식회사 정진비투비인천광역시 서구 염곡로15번길 32, 주식회사 새롬디자인 3층 2호 (가좌동)기타2022-09-01
342022-인천서구-0009위드 앤 비즈인천광역시 서구 경서로32번길 1, 건창홈타운 207호 (경서동)통신기기2022-09-01
452022-인천서구-0008신라통신인천광역시 서구 완정로 179, 제이원검단메디컬프라자 6층 391호 (왕길동)기타2022-09-01
562022-인천서구-0007주식회사 신록태양광에너지인천광역시 서구 봉수대로1545번길 24-1, 2층 (금곡동)기타2022-09-01
672022-인천서구-0006로또케어인천광역시 서구 청라라임로 85, 201동 2710호 (청라동, 청라린스트라우스)기타2022-09-01
782022-인천서구-0005이오스케이렌탈인천광역시 서구 건지로97번길 33-33, 301호 (석남동)기타2022-09-01
892022-인천서구-0004로또페이인천광역시 서구 청라에메랄드로102번길 8-18, 청라캐널큐브 7층 701호 (청라동)기타2022-09-01
9102022-인천서구-0003피알링크(PRLINK)인천광역시 서구 백범로630번길 16, GJ가좌타워 지식산업센터 7층 711호 (가좌동)통신기기 자동차/자동차용품2022-09-01
번호관리번호법인또는상호소재지주소취급품목데이터기준일자
28292019-인천서구-0005엠제이통신인천광역시 서구 검단로 441, KT검단지점 3층 (왕길동)통신기기 기타2022-09-01
29302019-인천서구-0003주식회사 세이버인천광역시 서구 백범로 681, 스마트테크노타워 2001,2002호 (가좌동)생활용품/세제류 가전 기타2022-09-01
30312018-인천서구-0008유니시스 주식회사인천광역시 서구 석남로 121, 4층 (석남동)기타2022-09-01
31322018-인천서구-0007㈜한솔정보인천광역시 서구 석남로 121, 석남빌딩 4층 (석남동)기타 통신기기2022-09-01
32332018-인천서구-0003프리즘코리아인천광역시 서구 백범로 681, 504호 (가좌동)가전 통신기기2022-09-01
33342017-인천서구-0001브랑떼이지에프(EGF)코스메틱인천광역시 서구 원당대로 876, 602호 (당하동, 희림타워)화장품/미용용품2022-09-01
34352016-인천서구-0007(주) 인포114인천광역시 서구 검단로 441 (왕길동, KT검단지점3층)기타2022-09-01
35362016-인천서구-0006대성통신인천광역시 서구 청라커낼로260번길 27, B동 1325호 (청라동)통신기기2022-09-01
36372012-인천서구-0004(주)유니스타인천광역시 서구 석남로 121 (석남동, KT석남지사4층)기타2022-09-01
3738서구2005-6주식회사 한통인천광역시 서구 검단로 441 (왕길동,케이티검단지점 1층)기타2022-09-01