Overview

Dataset statistics

Number of variables5
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory44.0 B

Variable types

Text4
Numeric1

Dataset

Description인천광역시 연수구에서 보유한 옥외광고업 현황에 대한 데이터로써 업소명, 영업장도로명주소, 위도, 경도, 영업내용등의 항목을 제공합니다.<br/>
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3081060&srcSe=7661IVAWM27C61E190

Alerts

업소명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 09:39:17.527506
Analysis finished2024-04-06 09:39:18.145049
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-04-06T18:39:18.328088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6
Min length3

Characters and Unicode

Total characters264
Distinct characters96
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

Unique44 ?
Unique (%)100.0%

Sample

1st row(주)모토브
2nd row주식회사 세종영테크
3rd row선우기획
4th row주식회사 명디자인
5th row아트제이디자인
ValueCountFrequency (%)
주식회사 5
 
9.8%
주)디자인이룸 1
 
2.0%
주)다빈디자인 1
 
2.0%
세영광고 1
 
2.0%
거성광고 1
 
2.0%
새한간판 1
 
2.0%
엔트 1
 
2.0%
월드광고 1
 
2.0%
샤론광고 1
 
2.0%
나눔기획 1
 
2.0%
Other values (37) 37
72.5%
2024-04-06T18:39:18.779472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 16
 
6.1%
인 14
 
5.3%
디 14
 
5.3%
자 13
 
4.9%
( 11
 
4.2%
) 11
 
4.2%
사 8
 
3.0%
고 8
 
3.0%
광 8
 
3.0%
7
 
2.7%
Other values (86) 154
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
83.3%
Open Punctuation 11
 
4.2%
Close Punctuation 11
 
4.2%
Space Separator 7
 
2.7%
Uppercase Letter 6
 
2.3%
Decimal Number 5
 
1.9%
Other Punctuation 4
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 16
 
7.3%
인 14
 
6.4%
디 14
 
6.4%
자 13
 
5.9%
사 8
 
3.6%
고 8
 
3.6%
광 8
 
3.6%
기 7
 
3.2%
이 7
 
3.2%
획 6
 
2.7%
Other values (74) 119
54.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
I 1
16.7%
D 1
16.7%
C 1
16.7%
T 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
4 1
 
20.0%
2 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
83.3%
Common 38
 
14.4%
Latin 6
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 16
 
7.3%
인 14
 
6.4%
디 14
 
6.4%
자 13
 
5.9%
사 8
 
3.6%
고 8
 
3.6%
광 8
 
3.6%
기 7
 
3.2%
이 7
 
3.2%
획 6
 
2.7%
Other values (74) 119
54.1%
Common
ValueCountFrequency (%)
( 11
28.9%
) 11
28.9%
7
18.4%
. 4
 
10.5%
1 3
 
7.9%
4 1
 
2.6%
2 1
 
2.6%
Latin
ValueCountFrequency (%)
S 2
33.3%
I 1
16.7%
D 1
16.7%
C 1
16.7%
T 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
83.3%
ASCII 44
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 16
 
7.3%
인 14
 
6.4%
디 14
 
6.4%
자 13
 
5.9%
사 8
 
3.6%
고 8
 
3.6%
광 8
 
3.6%
기 7
 
3.2%
이 7
 
3.2%
획 6
 
2.7%
Other values (74) 119
54.1%
ASCII
ValueCountFrequency (%)
( 11
25.0%
) 11
25.0%
7
15.9%
. 4
 
9.1%
1 3
 
6.8%
S 2
 
4.5%
4 1
 
2.3%
I 1
 
2.3%
D 1
 
2.3%
C 1
 
2.3%
Other values (2) 2
 
4.5%

영업장도로명주소
Text

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-04-06T18:39:19.134266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length36.795455
Min length21

Characters and Unicode

Total characters1619
Distinct characters129
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

Unique42 ?
Unique (%)95.5%

Sample

1st row인천광역시 연수구 송도문화로 119, 인천글로벌캠퍼스 복합문화센터 B1층 B1023호 (송도동)
2nd row인천광역시 연수구 용담로117번길 41, 만인타워 오피스텔 1동 11층 1103호 (연수동)
3rd row인천광역시 연수구 송도미래로 30, 송도 BRC 스마트밸리 지식산업센터 A동 3층 303호 (송도동)
4th row인천광역시 연수구 청량로 210, 상가동 3층 302호 (옥련동, 쌍용아파트)
5th row인천광역시 연수구 송도과학로 56, 송도테크노파크 BT센터 1동 3층 308호 (송도동)
ValueCountFrequency (%)
인천광역시 44
 
13.8%
연수구 44
 
13.8%
송도동 14
 
4.4%
송도미래로 13
 
4.1%
30 13
 
4.1%
연수동 9
 
2.8%
brc 7
 
2.2%
스마트밸리 7
 
2.2%
송도 7
 
2.2%
지식산업센터 7
 
2.2%
Other values (119) 153
48.1%
2024-04-06T18:39:19.927858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
278
 
17.2%
동 63
 
3.9%
연 54
 
3.3%
수 53
 
3.3%
1 50
 
3.1%
도 49
 
3.0%
송 49
 
3.0%
인 48
 
3.0%
천 46
 
2.8%
구 45
 
2.8%
Other values (119) 884
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 942
58.2%
Space Separator 278
 
17.2%
Decimal Number 238
 
14.7%
Uppercase Letter 47
 
2.9%
Open Punctuation 36
 
2.2%
Other Punctuation 36
 
2.2%
Close Punctuation 36
 
2.2%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 63
 
6.7%
연 54
 
5.7%
수 53
 
5.6%
도 49
 
5.2%
송 49
 
5.2%
인 48
 
5.1%
천 46
 
4.9%
구 45
 
4.8%
시 45
 
4.8%
로 45
 
4.8%
Other values (95) 445
47.2%
Decimal Number
ValueCountFrequency (%)
1 50
21.0%
0 45
18.9%
3 44
18.5%
2 23
9.7%
4 17
 
7.1%
6 15
 
6.3%
7 15
 
6.3%
9 12
 
5.0%
5 9
 
3.8%
8 8
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
B 16
34.0%
C 8
17.0%
R 8
17.0%
A 6
 
12.8%
T 3
 
6.4%
D 2
 
4.3%
E 2
 
4.3%
S 1
 
2.1%
I 1
 
2.1%
Space Separator
ValueCountFrequency (%)
278
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 942
58.2%
Common 630
38.9%
Latin 47
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 63
 
6.7%
연 54
 
5.7%
수 53
 
5.6%
도 49
 
5.2%
송 49
 
5.2%
인 48
 
5.1%
천 46
 
4.9%
구 45
 
4.8%
시 45
 
4.8%
로 45
 
4.8%
Other values (95) 445
47.2%
Common
ValueCountFrequency (%)
278
44.1%
1 50
 
7.9%
0 45
 
7.1%
3 44
 
7.0%
( 36
 
5.7%
, 36
 
5.7%
) 36
 
5.7%
2 23
 
3.7%
4 17
 
2.7%
6 15
 
2.4%
Other values (5) 50
 
7.9%
Latin
ValueCountFrequency (%)
B 16
34.0%
C 8
17.0%
R 8
17.0%
A 6
 
12.8%
T 3
 
6.4%
D 2
 
4.3%
E 2
 
4.3%
S 1
 
2.1%
I 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 942
58.2%
ASCII 677
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
278
41.1%
1 50
 
7.4%
0 45
 
6.6%
3 44
 
6.5%
( 36
 
5.3%
, 36
 
5.3%
) 36
 
5.3%
2 23
 
3.4%
4 17
 
2.5%
B 16
 
2.4%
Other values (14) 96
 
14.2%
Hangul
ValueCountFrequency (%)
동 63
 
6.7%
연 54
 
5.7%
수 53
 
5.6%
도 49
 
5.2%
송 49
 
5.2%
인 48
 
5.1%
천 46
 
4.9%
구 45
 
4.8%
시 45
 
4.8%
로 45
 
4.8%
Other values (95) 445
47.2%

위도
Real number (ℝ)

Distinct30
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.399955
Minimum37.3665
Maximum37.4307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-06T18:39:20.145941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.3665
5-th percentile37.3665
Q137.381
median37.4073
Q337.41925
95-th percentile37.427155
Maximum37.4307
Range0.0642
Interquartile range (IQR)0.03825

Descriptive statistics

Standard deviation0.02307911
Coefficient of variation (CV)0.00061708926
Kurtosis-1.5362863
Mean37.399955
Median Absolute Deviation (MAD)0.0179
Skewness-0.33547397
Sum1645.598
Variance0.00053264533
MonotonicityNot monotonic
2024-04-06T18:39:20.340712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
37.3665 8
 
18.2%
37.4073 4
 
9.1%
37.381 4
 
9.1%
37.415 2
 
4.5%
37.4227 1
 
2.3%
37.4184 1
 
2.3%
37.416 1
 
2.3%
37.4214 1
 
2.3%
37.4272 1
 
2.3%
37.3753 1
 
2.3%
Other values (20) 20
45.5%
ValueCountFrequency (%)
37.3665 8
18.2%
37.3673 1
 
2.3%
37.3753 1
 
2.3%
37.381 4
9.1%
37.3813 1
 
2.3%
37.3822 1
 
2.3%
37.3823 1
 
2.3%
37.3911 1
 
2.3%
37.4015 1
 
2.3%
37.4073 4
9.1%
ValueCountFrequency (%)
37.4307 1
2.3%
37.43 1
2.3%
37.4272 1
2.3%
37.4269 1
2.3%
37.4254 1
2.3%
37.425 1
2.3%
37.424 1
2.3%
37.4227 1
2.3%
37.4214 1
2.3%
37.421 1
2.3%

경도
Text

Distinct30
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-04-06T18:39:20.579807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0227273
Min length8

Characters and Unicode

Total characters353
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

Unique24 ?
Unique (%)54.5%

Sample

1st row126.6680
2nd row126.6786
3rd row126.6484
4th row126.6529
5th row126.6641
ValueCountFrequency (%)
126.6484 5
 
11.4%
126.6758 4
 
9.1%
126.6805 3
 
6.8%
126.6477 3
 
6.8%
126.6652 3
 
6.8%
126.6786 2
 
4.5%
126.6760 1
 
2.3%
126.6728 1
 
2.3%
126.6757 1
 
2.3%
126.6717 1
 
2.3%
Other values (20) 20
45.5%
2024-04-06T18:39:20.942462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 103
29.2%
2 55
15.6%
1 49
13.9%
. 45
12.7%
7 22
 
6.2%
4 20
 
5.7%
5 20
 
5.7%
8 19
 
5.4%
0 10
 
2.8%
9 7
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 308
87.3%
Other Punctuation 45
 
12.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 103
33.4%
2 55
17.9%
1 49
15.9%
7 22
 
7.1%
4 20
 
6.5%
5 20
 
6.5%
8 19
 
6.2%
0 10
 
3.2%
9 7
 
2.3%
3 3
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 353
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 103
29.2%
2 55
15.6%
1 49
13.9%
. 45
12.7%
7 22
 
6.2%
4 20
 
5.7%
5 20
 
5.7%
8 19
 
5.4%
0 10
 
2.8%
9 7
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 353
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 103
29.2%
2 55
15.6%
1 49
13.9%
. 45
12.7%
7 22
 
6.2%
4 20
 
5.7%
5 20
 
5.7%
8 19
 
5.4%
0 10
 
2.8%
9 7
 
2.0%

영업내용
Text

Distinct30
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-04-06T18:39:21.154872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length8.75
Min length2

Characters and Unicode

Total characters385
Distinct characters41
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)63.6%

Sample

1st row옥외광고업
2nd row옥외광고업
3rd row옥외광고업
4th row옥외광고업
5th row간판, 현수막, 광고인쇄
ValueCountFrequency (%)
옥외광고업 15
15.2%
제작 14
14.1%
및 13
13.1%
설치 8
 
8.1%
간판 7
 
7.1%
광고물 7
 
7.1%
옥외광고물 4
 
4.0%
현수막 4
 
4.0%
대행 3
 
3.0%
간판제작 3
 
3.0%
Other values (21) 21
21.2%
2024-04-06T18:39:21.503457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55
14.3%
광 34
 
8.8%
고 34
 
8.8%
옥 23
 
6.0%
제 23
 
6.0%
작 23
 
6.0%
외 23
 
6.0%
업 18
 
4.7%
판 17
 
4.4%
간 15
 
3.9%
Other values (31) 120
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 312
81.0%
Space Separator 55
 
14.3%
Other Punctuation 14
 
3.6%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 34
 
10.9%
고 34
 
10.9%
옥 23
 
7.4%
제 23
 
7.4%
작 23
 
7.4%
외 23
 
7.4%
업 18
 
5.8%
판 17
 
5.4%
간 15
 
4.8%
물 13
 
4.2%
Other values (26) 89
28.5%
Other Punctuation
ValueCountFrequency (%)
, 12
85.7%
/ 2
 
14.3%
Space Separator
ValueCountFrequency (%)
55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 312
81.0%
Common 73
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 34
 
10.9%
고 34
 
10.9%
옥 23
 
7.4%
제 23
 
7.4%
작 23
 
7.4%
외 23
 
7.4%
업 18
 
5.8%
판 17
 
5.4%
간 15
 
4.8%
물 13
 
4.2%
Other values (26) 89
28.5%
Common
ValueCountFrequency (%)
55
75.3%
, 12
 
16.4%
( 2
 
2.7%
) 2
 
2.7%
/ 2
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 312
81.0%
ASCII 73
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55
75.3%
, 12
 
16.4%
( 2
 
2.7%
) 2
 
2.7%
/ 2
 
2.7%
Hangul
ValueCountFrequency (%)
광 34
 
10.9%
고 34
 
10.9%
옥 23
 
7.4%
제 23
 
7.4%
작 23
 
7.4%
외 23
 
7.4%
업 18
 
5.8%
판 17
 
5.4%
간 15
 
4.8%
물 13
 
4.2%
Other values (26) 89
28.5%

Interactions

2024-04-06T18:39:17.868751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T18:39:21.601470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명영업장도로명주소위도경도영업내용
업소명1.0001.0001.0001.0001.000
영업장도로명주소1.0001.0001.0001.0000.989
위도1.0001.0001.0000.9870.633
경도1.0001.0000.9871.0000.961
영업내용1.0000.9890.6330.9611.000

Missing values

2024-04-06T18:39:17.989399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:39:18.105996image/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

업소명영업장도로명주소위도경도영업내용
0(주)모토브인천광역시 연수구 송도문화로 119, 인천글로벌캠퍼스 복합문화센터 B1층 B1023호 (송도동)37.3753126.6680옥외광고업
1주식회사 세종영테크인천광역시 연수구 용담로117번길 41, 만인타워 오피스텔 1동 11층 1103호 (연수동)37.4165126.6786옥외광고업
2선우기획인천광역시 연수구 송도미래로 30, 송도 BRC 스마트밸리 지식산업센터 A동 3층 303호 (송도동)37.3665126.6484옥외광고업
3주식회사 명디자인인천광역시 연수구 청량로 210, 상가동 3층 302호 (옥련동, 쌍용아파트)37.425126.6529옥외광고업
4아트제이디자인인천광역시 연수구 송도과학로 56, 송도테크노파크 BT센터 1동 3층 308호 (송도동)37.381126.6641간판, 현수막, 광고인쇄
5제이와이기획인천광역시 연수구 원인재로 124, 111동 4층 3호 (동춘동, 한양1차아파트)37.4084126.6805옥외광고업
6T.C.S인천광역시 연수구 송도미래로 30, B동 718호 (송도동, 송도스마트밸리)37.3673126.6502옥외광고물, 현수막 제작 제작 및 대행
7협진공사인천광역시 연수구 넘말로79번길 45, 103동 104호 (선학동, 윤성아파트)37.43126.6956옥외광고물제작
8애드뷰인천광역시 연수구 송도미래로 9, 비알씨(주) 연구소 3동 610호 (송도동)37.4073126.6758광고물
9영진기획인천광역시 연수구 능허대로149번길 6 (옥련동)37.421126.6464기획인쇄, 출판, 옥외광고물 제작 및 설치
업소명영업장도로명주소위도경도영업내용
34(주)거영I.S.D인천광역시 연수구 송도미래로 30, B동 603호 (송도동, BRC스마트밸리)37.4073126.6758간판
35세명광고인천광역시 연수구 용담로 62번길 27, 101호37.4176126.6728간판 제작 및 철거
36(주)공간환경디자인인천광역시 연수구 해돋이로 107 송도더샵퍼스트월드, 제비시동 제비동 714호37.3911126.6479옥외광고물 제작 및 설치
37(주)비알인포텍인천광역시 연수구 송도과학로 32, S동 2603-3호37.3823126.6625옥외광고사업
38(주)지피누리인천광역시 연수구 센트럴로 313, B동 2405호37.4015126.6314목재안내판 제작 및 납품
39디자인선인천광역시 연수구 송도미래로 30, 송도 BRC 스마트밸리 지식산업센터 A동 303호 (송도동)37.3665126.6484옥외광고업
40디자인해인천광역시 연수구 송도미래로 30, 송도 BRC 스마트밸리 지식산업센터 E동 810호(송도동)37.3665126.6477간판 및 광고물, 현수막 제작
41상상디자인인천광역시 연수구 새말로 99번길 1237.4188126.6805광고기획 및 제작
42수디자인인천광역시 연수구 송도미래로 30, 송도 BRC 스마트밸리 지식산업센터 D동 1303호 (송도동)37.3665126.6477옥외광고업
43주식회사 웰콤인천광역시 연수구 송도과학로 70, 송도에이티센터업무동 1309호37.381126.6652옥외광고업