Overview

Dataset statistics

Number of variables5
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory44.3 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description인천광역시 동구의 문화유통업 현황에 대한 데이터로, 업종명, 상호명, 영업소주소 등 항목을 제공하고 있습니다. (2023.07.17. 현재 복합유통게임제공업, 비디오감상실업, 게임제공업 등록 업소는 없음)
Author인천광역시 동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15117103&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
영업소주소 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:49:15.625984
Analysis finished2024-04-21 02:49:16.551644
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size479.0 B
2024-04-21T11:49:16.670399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q110.5
median20
Q329.5
95-th percentile37.1
Maximum39
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.401754
Coefficient of variation (CV)0.57008771
Kurtosis-1.2
Mean20
Median Absolute Deviation (MAD)10
Skewness0
Sum780
Variance130
MonotonicityStrictly increasing
2024-04-21T11:49:16.923191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 1
 
2.6%
2 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%
30 1
 
2.6%
Other values (29) 29
74.4%
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 (%)
39 1
2.6%
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%

업종명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size440.0 B
노래연습장업
31 
인터넷컴퓨터게임시설제공업
8 

Length

Max length13
Median length6
Mean length7.4358974
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 31
79.5%
인터넷컴퓨터게임시설제공업 8
 
20.5%

Length

2024-04-21T11:49:17.191813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:49:17.383559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 31
79.5%
인터넷컴퓨터게임시설제공업 8
 
20.5%

상호
Text

Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-04-21T11:49:18.031931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.8974359
Min length4

Characters and Unicode

Total characters269
Distinct characters79
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)94.9%

Sample

1st row파크노래연습장
2nd row당신의노래연습장
3rd row석노래연습장
4th row은하수노래연습장
5th row현대노래연습장
ValueCountFrequency (%)
노래연습장 5
 
11.4%
그레이pc방 2
 
4.5%
홍콩노래연습장 1
 
2.3%
모창노래연습장 1
 
2.3%
골드노래연습장 1
 
2.3%
데뷰노래연습장 1
 
2.3%
mbc 1
 
2.3%
큐노래연습장 1
 
2.3%
차차차 1
 
2.3%
히트노래연습장 1
 
2.3%
Other values (29) 29
65.9%
2024-04-21T11:49:18.982792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 33
12.3%
래 31
 
11.5%
연 31
 
11.5%
장 31
 
11.5%
습 31
 
11.5%
C 9
 
3.3%
P 8
 
3.0%
방 5
 
1.9%
5
 
1.9%
그 3
 
1.1%
Other values (69) 82
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
90.3%
Uppercase Letter 20
 
7.4%
Space Separator 5
 
1.9%
Letter Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 33
13.6%
래 31
12.8%
연 31
12.8%
장 31
12.8%
습 31
12.8%
방 5
 
2.1%
그 3
 
1.2%
차 3
 
1.2%
이 3
 
1.2%
라 2
 
0.8%
Other values (62) 70
28.8%
Uppercase Letter
ValueCountFrequency (%)
C 9
45.0%
P 8
40.0%
M 1
 
5.0%
B 1
 
5.0%
J 1
 
5.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
90.3%
Latin 21
 
7.8%
Common 5
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 33
13.6%
래 31
12.8%
연 31
12.8%
장 31
12.8%
습 31
12.8%
방 5
 
2.1%
그 3
 
1.2%
차 3
 
1.2%
이 3
 
1.2%
라 2
 
0.8%
Other values (62) 70
28.8%
Latin
ValueCountFrequency (%)
C 9
42.9%
P 8
38.1%
M 1
 
4.8%
B 1
 
4.8%
J 1
 
4.8%
Ⅱ 1
 
4.8%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
90.3%
ASCII 25
 
9.3%
Number Forms 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 33
13.6%
래 31
12.8%
연 31
12.8%
장 31
12.8%
습 31
12.8%
방 5
 
2.1%
그 3
 
1.2%
차 3
 
1.2%
이 3
 
1.2%
라 2
 
0.8%
Other values (62) 70
28.8%
ASCII
ValueCountFrequency (%)
C 9
36.0%
P 8
32.0%
5
20.0%
M 1
 
4.0%
B 1
 
4.0%
J 1
 
4.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

영업소주소
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-04-21T11:49:19.794291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length24
Min length20

Characters and Unicode

Total characters936
Distinct characters67
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

Unique39 ?
Unique (%)100.0%

Sample

1st row인천광역시 동구 샛골로 129 (송림동)
2nd row인천광역시 동구 샛골로 155 (송림동)
3rd row인천광역시 동구 솔빛로91번길 2-1 (송림동)
4th row인천광역시 동구 석수로 30 (화수동)
5th row인천광역시 동구 샛골로161번길 12
ValueCountFrequency (%)
인천광역시 39
18.9%
동구 39
18.9%
송림동 11
 
5.3%
송현동 11
 
5.3%
수문통로 7
 
3.4%
화도진로 5
 
2.4%
샛골로 5
 
2.4%
화수로 4
 
1.9%
7 4
 
1.9%
화평동 4
 
1.9%
Other values (59) 77
37.4%
2024-04-21T11:49:20.790425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
18.8%
동 76
 
8.1%
구 40
 
4.3%
인 39
 
4.2%
로 39
 
4.2%
천 39
 
4.2%
시 39
 
4.2%
역 39
 
4.2%
광 39
 
4.2%
( 37
 
4.0%
Other values (57) 373
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 556
59.4%
Space Separator 176
 
18.8%
Decimal Number 107
 
11.4%
Open Punctuation 37
 
4.0%
Close Punctuation 37
 
4.0%
Other Punctuation 15
 
1.6%
Dash Punctuation 7
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 76
13.7%
구 40
 
7.2%
인 39
 
7.0%
로 39
 
7.0%
천 39
 
7.0%
시 39
 
7.0%
역 39
 
7.0%
광 39
 
7.0%
송 32
 
5.8%
화 21
 
3.8%
Other values (41) 153
27.5%
Decimal Number
ValueCountFrequency (%)
1 30
28.0%
2 14
13.1%
3 12
 
11.2%
5 9
 
8.4%
4 8
 
7.5%
6 8
 
7.5%
7 8
 
7.5%
8 8
 
7.5%
9 6
 
5.6%
0 4
 
3.7%
Space Separator
ValueCountFrequency (%)
176
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 556
59.4%
Common 379
40.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 76
13.7%
구 40
 
7.2%
인 39
 
7.0%
로 39
 
7.0%
천 39
 
7.0%
시 39
 
7.0%
역 39
 
7.0%
광 39
 
7.0%
송 32
 
5.8%
화 21
 
3.8%
Other values (41) 153
27.5%
Common
ValueCountFrequency (%)
176
46.4%
( 37
 
9.8%
) 37
 
9.8%
1 30
 
7.9%
, 15
 
4.0%
2 14
 
3.7%
3 12
 
3.2%
5 9
 
2.4%
4 8
 
2.1%
6 8
 
2.1%
Other values (5) 33
 
8.7%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 556
59.4%
ASCII 380
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
176
46.3%
( 37
 
9.7%
) 37
 
9.7%
1 30
 
7.9%
, 15
 
3.9%
2 14
 
3.7%
3 12
 
3.2%
5 9
 
2.4%
4 8
 
2.1%
6 8
 
2.1%
Other values (6) 34
 
8.9%
Hangul
ValueCountFrequency (%)
동 76
13.7%
구 40
 
7.2%
인 39
 
7.0%
로 39
 
7.0%
천 39
 
7.0%
시 39
 
7.0%
역 39
 
7.0%
광 39
 
7.0%
송 32
 
5.8%
화 21
 
3.8%
Other values (41) 153
27.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size440.0 B
2023-07-17
39 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-17
2nd row2023-07-17
3rd row2023-07-17
4th row2023-07-17
5th row2023-07-17

Common Values

ValueCountFrequency (%)
2023-07-17 39
100.0%

Length

2024-04-21T11:49:21.008214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:49:21.169899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-17 39
100.0%

Interactions

2024-04-21T11:49:15.918769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:49:21.275973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명상호영업소주소
연번1.0001.0001.0001.000
업종명1.0001.0001.0001.000
상호1.0001.0001.0001.000
영업소주소1.0001.0001.0001.000
2024-04-21T11:49:21.478738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.885
업종명0.8851.000

Missing values

2024-04-21T11:49:16.124536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:49:16.487637image/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

연번업종명상호영업소주소데이터기준일
01노래연습장업파크노래연습장인천광역시 동구 샛골로 129 (송림동)2023-07-17
12노래연습장업당신의노래연습장인천광역시 동구 샛골로 155 (송림동)2023-07-17
23노래연습장업석노래연습장인천광역시 동구 솔빛로91번길 2-1 (송림동)2023-07-17
34노래연습장업은하수노래연습장인천광역시 동구 석수로 30 (화수동)2023-07-17
45노래연습장업현대노래연습장인천광역시 동구 샛골로161번길 122023-07-17
56노래연습장업동그라미노래연습장인천광역시 동구 제물량로 398 (만석동)2023-07-17
67노래연습장업엘비스노래연습장인천광역시 동구 운교로 5 (화수동)2023-07-17
78노래연습장업태양노래연습장인천광역시 동구 화도진로44번길 1 (송현동)2023-07-17
89노래연습장업쌍둥이노래연습장인천광역시 동구 샛골로 158-3 (송림동)2023-07-17
910노래연습장업예지노래연습장인천광역시 동구 샛골로 85 (창영동)2023-07-17
연번업종명상호영업소주소데이터기준일
2930노래연습장업썬 노래연습장인천광역시 동구 송미로 22 (송림동)2023-07-17
3031노래연습장업코리아나 노래연습장인천광역시 동구 샛골로 160-1 (송림동)2023-07-17
3132인터넷컴퓨터게임시설제공업엔터PC방인천광역시 동구 송현로 1 (송현동,9층)2023-07-17
3233인터넷컴퓨터게임시설제공업그레이PC방인천광역시 동구 화수로 7, 센타빌딩 2층 201호 (송현동)2023-07-17
3334인터넷컴퓨터게임시설제공업제노PC방인천광역시 동구 송미로 7 (송림동)2023-07-17
3435인터넷컴퓨터게임시설제공업그레이PC방인천광역시 동구 수문통로 26 (송현동)2023-07-17
3536인터넷컴퓨터게임시설제공업해피빈PC방인천광역시 동구 화도진로 73, 3,4층 (화평동, 조원빌딩)2023-07-17
3637인터넷컴퓨터게임시설제공업럭키PC인천광역시 동구 금곡로 84, 2층 (송림동)2023-07-17
3738인터넷컴퓨터게임시설제공업스타덤PC인천광역시 동구 운교로 15, 중구농협 1층 (화수동)2023-07-17
3839인터넷컴퓨터게임시설제공업오라PC인천광역시 동구 화도진로 86-1, 1층 (화평동)2023-07-17