Overview

Dataset statistics

Number of variables6
Number of observations102
Missing cells51
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory49.3 B

Variable types

Categorical3
Text3

Dataset

Description전라북도 정읍시 소재한 일발체육시설업 현황중( 업종, 상호, 소재지도로명주소, 전화번호, 관리부서)등의 정보를 제공합니다.
Author전라북도 정읍시
URLhttps://www.data.go.kr/data/15048102/fileData.do

Alerts

관리부서 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지도로명주소 has 4 (3.9%) missing valuesMissing
전화번호 has 47 (46.1%) missing valuesMissing
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-16 15:51:16.589686
Analysis finished2023-12-16 15:51:20.294807
Duration3.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct11
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size948.0 B
당구장업
32 
체육도장업
28 
골프연습장업
16 
체력단련장업
13 
에어로빅장업
4 
Other values (6)
9 

Length

Max length6
Median length5
Mean length4.9607843
Min length4

Unique

Unique3 ?
Unique (%)2.9%

Sample

1st row승마장업
2nd row승마장업
3rd row체육도장업
4th row체육도장업
5th row체육도장업

Common Values

ValueCountFrequency (%)
당구장업 32
31.4%
체육도장업 28
27.5%
골프연습장업 16
15.7%
체력단련장업 13
12.7%
에어로빅장업 4
 
3.9%
승마장업 2
 
2.0%
볼링장업 2
 
2.0%
탁구장업 2
 
2.0%
야구연습장업 1
 
1.0%
무도학원업 1
 
1.0%

Length

2023-12-16T15:51:20.777419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
당구장업 32
31.4%
체육도장업 28
27.5%
골프연습장업 16
15.7%
체력단련장업 13
12.7%
에어로빅장업 4
 
3.9%
승마장업 2
 
2.0%
볼링장업 2
 
2.0%
탁구장업 2
 
2.0%
야구연습장업 1
 
1.0%
무도학원업 1
 
1.0%

상호
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-16T15:51:22.041579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.2745098
Min length4

Characters and Unicode

Total characters742
Distinct characters193
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

Unique102 ?
Unique (%)100.0%

Sample

1st row웨스턴 스프링스
2nd row정읍 승마 클럽
3rd row정읍태권도체육관
4th row연지태권도장
5th row정읍유도교실
ValueCountFrequency (%)
당구장 6
 
4.0%
용인대 4
 
2.6%
sm타이거짐 3
 
2.0%
태권도장 3
 
2.0%
당구클럽 3
 
2.0%
정읍 2
 
1.3%
골프존파크 2
 
1.3%
정읍점 2
 
1.3%
웨스턴 1
 
0.7%
스톰당구장 1
 
0.7%
Other values (124) 124
82.1%
2023-12-16T15:51:23.713843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
6.6%
구 34
 
4.6%
장 33
 
4.4%
당 29
 
3.9%
스 22
 
3.0%
도 21
 
2.8%
태 20
 
2.7%
프 20
 
2.7%
권 18
 
2.4%
럽 15
 
2.0%
Other values (183) 481
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 644
86.8%
Space Separator 49
 
6.6%
Uppercase Letter 28
 
3.8%
Lowercase Letter 12
 
1.6%
Decimal Number 7
 
0.9%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 34
 
5.3%
장 33
 
5.1%
당 29
 
4.5%
스 22
 
3.4%
도 21
 
3.3%
태 20
 
3.1%
프 20
 
3.1%
권 18
 
2.8%
럽 15
 
2.3%
클 15
 
2.3%
Other values (151) 417
64.8%
Uppercase Letter
ValueCountFrequency (%)
S 5
17.9%
G 3
10.7%
M 3
10.7%
D 2
 
7.1%
P 2
 
7.1%
K 2
 
7.1%
B 2
 
7.1%
C 1
 
3.6%
J 1
 
3.6%
Y 1
 
3.6%
Other values (6) 6
21.4%
Lowercase Letter
ValueCountFrequency (%)
l 3
25.0%
i 2
16.7%
a 1
 
8.3%
b 1
 
8.3%
r 1
 
8.3%
u 1
 
8.3%
d 1
 
8.3%
m 1
 
8.3%
y 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
3 2
28.6%
2 2
28.6%
1 2
28.6%
0 1
14.3%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 644
86.8%
Common 58
 
7.8%
Latin 40
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 34
 
5.3%
장 33
 
5.1%
당 29
 
4.5%
스 22
 
3.4%
도 21
 
3.3%
태 20
 
3.1%
프 20
 
3.1%
권 18
 
2.8%
럽 15
 
2.3%
클 15
 
2.3%
Other values (151) 417
64.8%
Latin
ValueCountFrequency (%)
S 5
 
12.5%
G 3
 
7.5%
l 3
 
7.5%
M 3
 
7.5%
D 2
 
5.0%
P 2
 
5.0%
K 2
 
5.0%
i 2
 
5.0%
B 2
 
5.0%
a 1
 
2.5%
Other values (15) 15
37.5%
Common
ValueCountFrequency (%)
49
84.5%
3 2
 
3.4%
2 2
 
3.4%
1 2
 
3.4%
0 1
 
1.7%
) 1
 
1.7%
( 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 644
86.8%
ASCII 98
 
13.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49
50.0%
S 5
 
5.1%
G 3
 
3.1%
l 3
 
3.1%
M 3
 
3.1%
D 2
 
2.0%
P 2
 
2.0%
3 2
 
2.0%
K 2
 
2.0%
2 2
 
2.0%
Other values (22) 25
25.5%
Hangul
ValueCountFrequency (%)
구 34
 
5.3%
장 33
 
5.1%
당 29
 
4.5%
스 22
 
3.4%
도 21
 
3.3%
태 20
 
3.1%
프 20
 
3.1%
권 18
 
2.8%
럽 15
 
2.3%
클 15
 
2.3%
Other values (151) 417
64.8%

소재지도로명주소
Text

MISSING 

Distinct96
Distinct (%)98.0%
Missing4
Missing (%)3.9%
Memory size948.0 B
2023-12-16T15:51:24.648678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length24.418367
Min length15

Characters and Unicode

Total characters2393
Distinct characters134
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

Unique94 ?
Unique (%)95.9%

Sample

1st row전라북도 정읍시 송산1길 142-101 (송산동)
2nd row전라북도 정읍시 서부산업도로 124-49 (상평동)
3rd row전라북도 정읍시 수성5로 65-3 (수성동)
4th row전라북도 정읍시 중앙로 59 (연지동)
5th row전라북도 정읍시 샘골로 82 (수성동)
ValueCountFrequency (%)
전라북도 98
18.9%
정읍시 98
18.9%
수성동 31
 
6.0%
상동 23
 
4.4%
충정로 10
 
1.9%
시기동 10
 
1.9%
2층 9
 
1.7%
중앙로 7
 
1.4%
학산로 7
 
1.4%
연지동 6
 
1.2%
Other values (162) 219
42.3%
2023-12-16T15:51:26.041573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
428
17.9%
정 117
 
4.9%
시 109
 
4.6%
읍 109
 
4.6%
북 102
 
4.3%
도 100
 
4.2%
전 98
 
4.1%
라 98
 
4.1%
동 88
 
3.7%
) 83
 
3.5%
Other values (124) 1061
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1380
57.7%
Space Separator 428
 
17.9%
Decimal Number 356
 
14.9%
Close Punctuation 83
 
3.5%
Open Punctuation 83
 
3.5%
Dash Punctuation 34
 
1.4%
Other Punctuation 24
 
1.0%
Uppercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 117
 
8.5%
시 109
 
7.9%
읍 109
 
7.9%
북 102
 
7.4%
도 100
 
7.2%
전 98
 
7.1%
라 98
 
7.1%
동 88
 
6.4%
로 67
 
4.9%
성 61
 
4.4%
Other values (102) 431
31.2%
Decimal Number
ValueCountFrequency (%)
1 78
21.9%
2 64
18.0%
3 43
12.1%
5 41
11.5%
6 25
 
7.0%
8 24
 
6.7%
0 23
 
6.5%
4 22
 
6.2%
7 19
 
5.3%
9 17
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
J 1
20.0%
K 1
20.0%
G 1
20.0%
D 1
20.0%
R 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 22
91.7%
@ 1
 
4.2%
/ 1
 
4.2%
Space Separator
ValueCountFrequency (%)
428
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1380
57.7%
Common 1008
42.1%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 117
 
8.5%
시 109
 
7.9%
읍 109
 
7.9%
북 102
 
7.4%
도 100
 
7.2%
전 98
 
7.1%
라 98
 
7.1%
동 88
 
6.4%
로 67
 
4.9%
성 61
 
4.4%
Other values (102) 431
31.2%
Common
ValueCountFrequency (%)
428
42.5%
) 83
 
8.2%
( 83
 
8.2%
1 78
 
7.7%
2 64
 
6.3%
3 43
 
4.3%
5 41
 
4.1%
- 34
 
3.4%
6 25
 
2.5%
8 24
 
2.4%
Other values (7) 105
 
10.4%
Latin
ValueCountFrequency (%)
J 1
20.0%
K 1
20.0%
G 1
20.0%
D 1
20.0%
R 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1380
57.7%
ASCII 1013
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
428
42.3%
) 83
 
8.2%
( 83
 
8.2%
1 78
 
7.7%
2 64
 
6.3%
3 43
 
4.2%
5 41
 
4.0%
- 34
 
3.4%
6 25
 
2.5%
8 24
 
2.4%
Other values (12) 110
 
10.9%
Hangul
ValueCountFrequency (%)
정 117
 
8.5%
시 109
 
7.9%
읍 109
 
7.9%
북 102
 
7.4%
도 100
 
7.2%
전 98
 
7.1%
라 98
 
7.1%
동 88
 
6.4%
로 67
 
4.9%
성 61
 
4.4%
Other values (102) 431
31.2%

전화번호
Text

MISSING 

Distinct55
Distinct (%)100.0%
Missing47
Missing (%)46.1%
Memory size948.0 B
2023-12-16T15:51:27.081854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters660
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

Unique55 ?
Unique (%)100.0%

Sample

1st row063-534-0001
2nd row063-531-0440
3rd row063-537-9461
4th row063-537-2648
5th row063-531-1609
ValueCountFrequency (%)
063-534-0001 1
 
1.8%
063-535-9181 1
 
1.8%
063-536-8517 1
 
1.8%
063-536-9644 1
 
1.8%
063-535-1474 1
 
1.8%
063-536-2570 1
 
1.8%
063-571-5020 1
 
1.8%
063-531-6891 1
 
1.8%
063-537-0037 1
 
1.8%
063-537-4949 1
 
1.8%
Other values (45) 45
81.8%
2023-12-16T15:51:28.824610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 125
18.9%
- 110
16.7%
0 85
12.9%
5 82
12.4%
6 79
12.0%
1 36
 
5.5%
7 35
 
5.3%
4 29
 
4.4%
9 29
 
4.4%
8 29
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 550
83.3%
Dash Punctuation 110
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 125
22.7%
0 85
15.5%
5 82
14.9%
6 79
14.4%
1 36
 
6.5%
7 35
 
6.4%
4 29
 
5.3%
9 29
 
5.3%
8 29
 
5.3%
2 21
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 660
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 125
18.9%
- 110
16.7%
0 85
12.9%
5 82
12.4%
6 79
12.0%
1 36
 
5.5%
7 35
 
5.3%
4 29
 
4.4%
9 29
 
4.4%
8 29
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 125
18.9%
- 110
16.7%
0 85
12.9%
5 82
12.4%
6 79
12.0%
1 36
 
5.5%
7 35
 
5.3%
4 29
 
4.4%
9 29
 
4.4%
8 29
 
4.4%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
정읍시 체육진흥사업소
102 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정읍시 체육진흥사업소
2nd row정읍시 체육진흥사업소
3rd row정읍시 체육진흥사업소
4th row정읍시 체육진흥사업소
5th row정읍시 체육진흥사업소

Common Values

ValueCountFrequency (%)
정읍시 체육진흥사업소 102
100.0%

Length

2023-12-16T15:51:29.756296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:51:30.304168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정읍시 102
50.0%
체육진흥사업소 102
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-14
102 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-14
2nd row2023-12-14
3rd row2023-12-14
4th row2023-12-14
5th row2023-12-14

Common Values

ValueCountFrequency (%)
2023-12-14 102
100.0%

Length

2023-12-16T15:51:30.916424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:51:31.408987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-14 102
100.0%

Correlations

2023-12-16T15:51:31.787147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종소재지도로명주소전화번호
업종1.0000.9401.000
소재지도로명주소0.9401.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-16T15:51:18.429545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:51:19.478751image/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.
2023-12-16T15:51:19.974615image/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

업종상호소재지도로명주소전화번호관리부서데이터기준일자
0승마장업웨스턴 스프링스전라북도 정읍시 송산1길 142-101 (송산동)063-534-0001정읍시 체육진흥사업소2023-12-14
1승마장업정읍 승마 클럽전라북도 정읍시 서부산업도로 124-49 (상평동)063-531-0440정읍시 체육진흥사업소2023-12-14
2체육도장업정읍태권도체육관전라북도 정읍시 수성5로 65-3 (수성동)063-537-9461정읍시 체육진흥사업소2023-12-14
3체육도장업연지태권도장전라북도 정읍시 중앙로 59 (연지동)<NA>정읍시 체육진흥사업소2023-12-14
4체육도장업정읍유도교실전라북도 정읍시 샘골로 82 (수성동)063-537-2648정읍시 체육진흥사업소2023-12-14
5체육도장업국일체육관전라북도 정읍시 칠보면 칠보중앙로 68063-531-1609정읍시 체육진흥사업소2023-12-14
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