Overview

Dataset statistics

Number of variables6
Number of observations26
Missing cells7
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory54.1 B

Variable types

Numeric1
Categorical1
Text3
DateTime1

Dataset

Description인천광역시 남동구 가상체험체육시설업에 대한 현황으로 연번, 업종, 상호, 시설주소, 시설전화번호, 데이터기준일을 제공합니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15088975

Alerts

업종 has constant value ""Constant
데이터기준일 has constant value ""Constant
시설전화번호 has 7 (26.9%) missing valuesMissing
연번 has unique valuesUnique
상호 has unique valuesUnique
시설주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 14:39:00.045256
Analysis finished2024-01-28 14:39:00.454889
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-01-28T23:39:00.506403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2024-01-28T23:39:00.603681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
가상체험 체육시설업
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가상체험 체육시설업
2nd row가상체험 체육시설업
3rd row가상체험 체육시설업
4th row가상체험 체육시설업
5th row가상체험 체육시설업

Common Values

ValueCountFrequency (%)
가상체험 체육시설업 26
100.0%

Length

2024-01-28T23:39:00.735353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:39:00.814468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가상체험 26
50.0%
체육시설업 26
50.0%

상호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-28T23:39:00.974008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.384615
Min length3

Characters and Unicode

Total characters270
Distinct characters84
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowSG에코스크린골프 인천논현점
2nd row스트라이크존 구월구장
3rd row스트라이크존 서창점
4th row리얼야구존 구월점
5th row레전드야구존
ValueCountFrequency (%)
인천논현점 4
 
7.7%
스트라이크존 3
 
5.8%
골프아카데미 3
 
5.8%
골프 2
 
3.8%
sg 1
 
1.9%
주)프렌즈스크린 1
 
1.9%
남동중앙점 1
 
1.9%
프렌즈아카데미 1
 
1.9%
인천서창점 1
 
1.9%
서창프렌즈 1
 
1.9%
Other values (34) 34
65.4%
2024-01-28T23:39:01.292442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
9.6%
프 18
 
6.7%
스 14
 
5.2%
점 13
 
4.8%
골 13
 
4.8%
크 11
 
4.1%
인 8
 
3.0%
린 8
 
3.0%
구 7
 
2.6%
천 7
 
2.6%
Other values (74) 145
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233
86.3%
Space Separator 26
 
9.6%
Uppercase Letter 7
 
2.6%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 18
 
7.7%
스 14
 
6.0%
점 13
 
5.6%
골 13
 
5.6%
크 11
 
4.7%
인 8
 
3.4%
린 8
 
3.4%
구 7
 
3.0%
천 7
 
3.0%
존 6
 
2.6%
Other values (67) 128
54.9%
Uppercase Letter
ValueCountFrequency (%)
S 3
42.9%
G 2
28.6%
E 1
 
14.3%
V 1
 
14.3%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 233
86.3%
Common 30
 
11.1%
Latin 7
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 18
 
7.7%
스 14
 
6.0%
점 13
 
5.6%
골 13
 
5.6%
크 11
 
4.7%
인 8
 
3.4%
린 8
 
3.4%
구 7
 
3.0%
천 7
 
3.0%
존 6
 
2.6%
Other values (67) 128
54.9%
Latin
ValueCountFrequency (%)
S 3
42.9%
G 2
28.6%
E 1
 
14.3%
V 1
 
14.3%
Common
ValueCountFrequency (%)
26
86.7%
( 2
 
6.7%
) 2
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233
86.3%
ASCII 37
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
70.3%
S 3
 
8.1%
( 2
 
5.4%
G 2
 
5.4%
) 2
 
5.4%
E 1
 
2.7%
V 1
 
2.7%
Hangul
ValueCountFrequency (%)
프 18
 
7.7%
스 14
 
6.0%
점 13
 
5.6%
골 13
 
5.6%
크 11
 
4.7%
인 8
 
3.4%
린 8
 
3.4%
구 7
 
3.0%
천 7
 
3.0%
존 6
 
2.6%
Other values (67) 128
54.9%

시설주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-28T23:39:01.538317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length42
Mean length39.961538
Min length28

Characters and Unicode

Total characters1039
Distinct characters109
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 논고개로 77, 에코타워 11층 1104~6호 (논현동)
2nd row인천광역시 남동구 성말로 10, 효명프라자 7층 702호 (구월동)
3rd row인천광역시 남동구 서창남로 45, 로데오프라자 505~507호 (서창동)
4th row인천광역시 남동구 인하로 497-24, 조한빌딩 901호 (구월동)
5th row인천광역시 남동구 인하로489번길 28, 로데오프라자21 B101호 (구월동)
ValueCountFrequency (%)
인천광역시 26
 
13.7%
남동구 26
 
13.7%
구월동 8
 
4.2%
논현동 8
 
4.2%
서창동 6
 
3.2%
35 6
 
3.2%
논고개로 4
 
2.1%
서창남로 4
 
2.1%
고잔동 3
 
1.6%
칼리오페 2
 
1.1%
Other values (90) 97
51.1%
2024-01-28T23:39:01.905139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
 
15.8%
동 54
 
5.2%
1 41
 
3.9%
0 39
 
3.8%
남 36
 
3.5%
구 36
 
3.5%
호 36
 
3.5%
2 35
 
3.4%
인 32
 
3.1%
, 32
 
3.1%
Other values (99) 534
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 558
53.7%
Decimal Number 215
 
20.7%
Space Separator 164
 
15.8%
Other Punctuation 32
 
3.1%
Open Punctuation 26
 
2.5%
Close Punctuation 26
 
2.5%
Math Symbol 9
 
0.9%
Uppercase Letter 6
 
0.6%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 54
 
9.7%
남 36
 
6.5%
구 36
 
6.5%
호 36
 
6.5%
인 32
 
5.7%
로 28
 
5.0%
역 27
 
4.8%
천 26
 
4.7%
시 26
 
4.7%
광 26
 
4.7%
Other values (77) 231
41.4%
Decimal Number
ValueCountFrequency (%)
1 41
19.1%
0 39
18.1%
2 35
16.3%
5 28
13.0%
3 24
11.2%
4 14
 
6.5%
9 10
 
4.7%
7 9
 
4.2%
6 9
 
4.2%
8 6
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
J 1
16.7%
K 1
16.7%
B 1
16.7%
C 1
16.7%
G 1
16.7%
V 1
16.7%
Space Separator
ValueCountFrequency (%)
164
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 558
53.7%
Common 475
45.7%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 54
 
9.7%
남 36
 
6.5%
구 36
 
6.5%
호 36
 
6.5%
인 32
 
5.7%
로 28
 
5.0%
역 27
 
4.8%
천 26
 
4.7%
시 26
 
4.7%
광 26
 
4.7%
Other values (77) 231
41.4%
Common
ValueCountFrequency (%)
164
34.5%
1 41
 
8.6%
0 39
 
8.2%
2 35
 
7.4%
, 32
 
6.7%
5 28
 
5.9%
( 26
 
5.5%
) 26
 
5.5%
3 24
 
5.1%
4 14
 
2.9%
Other values (6) 46
 
9.7%
Latin
ValueCountFrequency (%)
J 1
16.7%
K 1
16.7%
B 1
16.7%
C 1
16.7%
G 1
16.7%
V 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 558
53.7%
ASCII 481
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
34.1%
1 41
 
8.5%
0 39
 
8.1%
2 35
 
7.3%
, 32
 
6.7%
5 28
 
5.8%
( 26
 
5.4%
) 26
 
5.4%
3 24
 
5.0%
4 14
 
2.9%
Other values (12) 52
 
10.8%
Hangul
ValueCountFrequency (%)
동 54
 
9.7%
남 36
 
6.5%
구 36
 
6.5%
호 36
 
6.5%
인 32
 
5.7%
로 28
 
5.0%
역 27
 
4.8%
천 26
 
4.7%
시 26
 
4.7%
광 26
 
4.7%
Other values (77) 231
41.4%

시설전화번호
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing7
Missing (%)26.9%
Memory size340.0 B
2024-01-28T23:39:02.073820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.842105
Min length9

Characters and Unicode

Total characters225
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

Unique19 ?
Unique (%)100.0%

Sample

1st row032-433-0077
2nd row032-423-6668
3rd row032-467-7979
4th row032-435-9388
5th row032-441-2929
ValueCountFrequency (%)
032-433-0077 1
 
5.3%
032-710-2009 1
 
5.3%
032-442-0072 1
 
5.3%
032-422-0742 1
 
5.3%
032-432-0173 1
 
5.3%
032-710-0282 1
 
5.3%
032-716-9133 1
 
5.3%
032-437-1007 1
 
5.3%
032-818-5000 1
 
5.3%
032-422-7111 1
 
5.3%
Other values (9) 9
47.4%
2024-01-28T23:39:02.346956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43
19.1%
- 37
16.4%
3 33
14.7%
2 32
14.2%
7 18
8.0%
4 17
 
7.6%
1 13
 
5.8%
8 12
 
5.3%
9 9
 
4.0%
6 7
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 188
83.6%
Dash Punctuation 37
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
22.9%
3 33
17.6%
2 32
17.0%
7 18
9.6%
4 17
 
9.0%
1 13
 
6.9%
8 12
 
6.4%
9 9
 
4.8%
6 7
 
3.7%
5 4
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 225
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43
19.1%
- 37
16.4%
3 33
14.7%
2 32
14.2%
7 18
8.0%
4 17
 
7.6%
1 13
 
5.8%
8 12
 
5.3%
9 9
 
4.0%
6 7
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 225
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43
19.1%
- 37
16.4%
3 33
14.7%
2 32
14.2%
7 18
8.0%
4 17
 
7.6%
1 13
 
5.8%
8 12
 
5.3%
9 9
 
4.0%
6 7
 
3.1%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2023-07-24 00:00:00
Maximum2023-07-24 00:00:00
2024-01-28T23:39:02.448140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:39:02.525205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T23:39:00.232476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T23:39:02.585543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호시설주소시설전화번호
연번1.0001.0001.0001.000
상호1.0001.0001.0001.000
시설주소1.0001.0001.0001.000
시설전화번호1.0001.0001.0001.000

Missing values

2024-01-28T23:39:00.336862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T23:39:00.420908image/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

연번업종상호시설주소시설전화번호데이터기준일
01가상체험 체육시설업SG에코스크린골프 인천논현점인천광역시 남동구 논고개로 77, 에코타워 11층 1104~6호 (논현동)032-433-00772023-07-24
12가상체험 체육시설업스트라이크존 구월구장인천광역시 남동구 성말로 10, 효명프라자 7층 702호 (구월동)032-423-66682023-07-24
23가상체험 체육시설업스트라이크존 서창점인천광역시 남동구 서창남로 45, 로데오프라자 505~507호 (서창동)032-467-79792023-07-24
34가상체험 체육시설업리얼야구존 구월점인천광역시 남동구 인하로 497-24, 조한빌딩 901호 (구월동)032-435-93882023-07-24
45가상체험 체육시설업레전드야구존인천광역시 남동구 인하로489번길 28, 로데오프라자21 B101호 (구월동)032-441-29292023-07-24
56가상체험 체육시설업타워스크린인천광역시 남동구 호구포로 189, 남동테크노타워 지식산업센터 214~221호 (고잔동)032-865-79792023-07-24
67가상체험 체육시설업스트라이크존 인천논현점인천광역시 남동구 논고개로123번길 35, 칼리오페 301호, 319~320호 (논현동)032-433-88002023-07-24
78가상체험 체육시설업프렌즈 스크린인천광역시 남동구 인주대로 664, 메인프라자 401호 (구월동)032-710-08832023-07-24
89가상체험 체육시설업VSE 골프 아카데미인천광역시 남동구 논고개로123번길 35, 칼리오페 201호 (논현동)<NA>2023-07-24
910가상체험 체육시설업프렌즈스크린 엔 골프아카데미인천광역시 남동구 성말로 9, 이노 프라자 502호 (구월동)<NA>2023-07-24
연번업종상호시설주소시설전화번호데이터기준일
1617가상체험 체육시설업프렌즈아카데미 인천서창점인천광역시 남동구 서창남로 35, 502호 (서창동)032-716-91332023-07-24
1718가상체험 체육시설업서창프렌즈인천광역시 남동구 서창남로 35, 해피프라자 5층 505호 (서창동)<NA>2023-07-24
1819가상체험 체육시설업블로우 골프아카데미인천광역시 남동구 서창남순환로215번길 17, 마스타프라자 6층 610호 (서창동)<NA>2023-07-24
1920가상체험 체육시설업더키플인천광역시 남동구 남동대로 353, JK루체스타 2층 201-205호, 237-241호호 (남촌동)032-710-02822023-07-24
2021가상체험 체육시설업SG 스크린골프 논현점인천광역시 남동구 논고개로 114, 에이스타워 1002호 (논현동)032-432-01732023-07-24
2122가상체험 체육시설업행복골프훈련소 인천시청점인천광역시 남동구 인주대로 606, 3층 (구월동)032-422-07422023-07-24
2223가상체험 체육시설업주식회사 유나우서창지점인천광역시 남동구 서창남순환로216번길 35, 청수타워 201, 202호 (서창동)1600-80402023-07-24
2324가상체험 체육시설업제이앤큐 골프인천광역시 남동구 서창남로 35, 507호~509호 (서창동)<NA>2023-07-24
2425가상체험 체육시설업인골프인천광역시 남동구 소래역남로 12, 거목프라자 502, 503, 504호 (논현동)<NA>2023-07-24
2526가상체험 체육시설업스페이스 골프존인천광역시 남동구 인하로 501, 지하1층호 (구월동)<NA>2023-07-24