Overview

Dataset statistics

Number of variables5
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory45.3 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description경상남도_남해군_실내체육시설현황 데이터로 시설업종, 시설유형, 체육시설명, 주소를 항목별로 정보를 제공합니다.
Author경상남도 남해군
URLhttps://www.data.go.kr/data/15080514/fileData.do

Alerts

번호 is highly overall correlated with 시설업종High correlation
시설업종 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique
체육시설명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:53:49.180476
Analysis finished2024-04-21 01:53:51.447301
Duration2.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-21T10:53:51.520818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2024-04-21T10:53:51.653406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

시설업종
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size380.0 B
당구장업
10 
자유업
7 
체력단련장업
4 
체육도장업
4 
골프연습장업
3 
Other values (2)
3 

Length

Max length16
Median length6
Mean length5.1290323
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row체력단련장업
2nd row체력단련장업
3rd row체력단련장업
4th row자유업
5th row자유업

Common Values

ValueCountFrequency (%)
당구장업 10
32.3%
자유업 7
22.6%
체력단련장업 4
 
12.9%
체육도장업 4
 
12.9%
골프연습장업 3
 
9.7%
가상체험 체육시설업(골프종목) 2
 
6.5%
수영장업 1
 
3.2%

Length

2024-04-21T10:53:51.792887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:53:51.913956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 10
30.3%
자유업 7
21.2%
체력단련장업 4
 
12.1%
체육도장업 4
 
12.1%
골프연습장업 3
 
9.1%
가상체험 2
 
6.1%
체육시설업(골프종목 2
 
6.1%
수영장업 1
 
3.0%

시설유형
Text

Distinct17
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-21T10:53:52.063974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.5806452
Min length2

Characters and Unicode

Total characters111
Distinct characters40
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

Unique13 ?
Unique (%)41.9%

Sample

1st row체력단련장
2nd row체력단련장
3rd row체력단련장
4th row탁구장
5th row라인댄스+에어로빅
ValueCountFrequency (%)
당구장 10
30.3%
태권도 3
 
9.1%
스크린 3
 
9.1%
체력단련장 3
 
9.1%
골프 2
 
6.1%
실외 1
 
3.0%
라인댄스+에어로빅 1
 
3.0%
검도 1
 
3.0%
실내 1
 
3.0%
탁구장 1
 
3.0%
Other values (7) 7
21.2%
2024-04-21T10:53:52.376323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 17
 
15.3%
구 11
 
9.9%
당 10
 
9.0%
스 7
 
6.3%
도 4
 
3.6%
력 3
 
2.7%
단 3
 
2.7%
련 3
 
2.7%
태 3
 
2.7%
권 3
 
2.7%
Other values (30) 47
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107
96.4%
Math Symbol 2
 
1.8%
Space Separator 2
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 17
 
15.9%
구 11
 
10.3%
당 10
 
9.3%
스 7
 
6.5%
도 4
 
3.7%
력 3
 
2.8%
단 3
 
2.8%
련 3
 
2.8%
태 3
 
2.8%
권 3
 
2.8%
Other values (28) 43
40.2%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107
96.4%
Common 4
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 17
 
15.9%
구 11
 
10.3%
당 10
 
9.3%
스 7
 
6.5%
도 4
 
3.7%
력 3
 
2.8%
단 3
 
2.8%
련 3
 
2.8%
태 3
 
2.8%
권 3
 
2.8%
Other values (28) 43
40.2%
Common
ValueCountFrequency (%)
+ 2
50.0%
2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107
96.4%
ASCII 4
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 17
 
15.9%
구 11
 
10.3%
당 10
 
9.3%
스 7
 
6.5%
도 4
 
3.7%
력 3
 
2.8%
단 3
 
2.8%
련 3
 
2.8%
태 3
 
2.8%
권 3
 
2.8%
Other values (28) 43
40.2%
ASCII
ValueCountFrequency (%)
+ 2
50.0%
2
50.0%

체육시설명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-21T10:53:52.597703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.6129032
Min length4

Characters and Unicode

Total characters205
Distinct characters95
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

Unique31 ?
Unique (%)100.0%

Sample

1st row남해라이프짐 앤 휘트니스
2nd row비타민 휘트니스
3rd rowM피트니스
4th row대경탁구장
5th row쏘울라인댄스
ValueCountFrequency (%)
휘트니스 2
 
5.4%
스크린골프 2
 
5.4%
남해라이프짐 1
 
2.7%
나매필라테스앤요가 1
 
2.7%
당구뱅크 1
 
2.7%
월드당구장 1
 
2.7%
삼현당구장 1
 
2.7%
사계절당구장 1
 
2.7%
길당구장 1
 
2.7%
터미널볼링센터 1
 
2.7%
Other values (25) 25
67.6%
2024-04-21T10:53:52.938036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 13
 
6.3%
스 12
 
5.9%
구 11
 
5.4%
당 10
 
4.9%
남 6
 
2.9%
프 6
 
2.9%
해 6
 
2.9%
6
 
2.9%
골 5
 
2.4%
크 5
 
2.4%
Other values (85) 125
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193
94.1%
Space Separator 6
 
2.9%
Uppercase Letter 4
 
2.0%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 13
 
6.7%
스 12
 
6.2%
구 11
 
5.7%
당 10
 
5.2%
남 6
 
3.1%
프 6
 
3.1%
해 6
 
3.1%
골 5
 
2.6%
크 5
 
2.6%
라 4
 
2.1%
Other values (79) 115
59.6%
Uppercase Letter
ValueCountFrequency (%)
M 2
50.0%
V 1
25.0%
P 1
25.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193
94.1%
Common 8
 
3.9%
Latin 4
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 13
 
6.7%
스 12
 
6.2%
구 11
 
5.7%
당 10
 
5.2%
남 6
 
3.1%
프 6
 
3.1%
해 6
 
3.1%
골 5
 
2.6%
크 5
 
2.6%
라 4
 
2.1%
Other values (79) 115
59.6%
Common
ValueCountFrequency (%)
6
75.0%
( 1
 
12.5%
) 1
 
12.5%
Latin
ValueCountFrequency (%)
M 2
50.0%
V 1
25.0%
P 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193
94.1%
ASCII 12
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 13
 
6.7%
스 12
 
6.2%
구 11
 
5.7%
당 10
 
5.2%
남 6
 
3.1%
프 6
 
3.1%
해 6
 
3.1%
골 5
 
2.6%
크 5
 
2.6%
라 4
 
2.1%
Other values (79) 115
59.6%
ASCII
ValueCountFrequency (%)
6
50.0%
M 2
 
16.7%
( 1
 
8.3%
) 1
 
8.3%
V 1
 
8.3%
P 1
 
8.3%

주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-21T10:53:53.144697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length24.322581
Min length11

Characters and Unicode

Total characters754
Distinct characters51
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

Unique31 ?
Unique (%)100.0%

Sample

1st row경상남도 남해군 남해읍 망운로19번길 39
2nd row경상남도 남해군 남해읍 화전로78번길 19-5
3rd row경상남도 남해군 창선면 율도로 8
4th row경상남도 남해군 남해읍 화전로122번길 37-17, 2층
5th row경상남도 남해군 남해읍 화전로 170
ValueCountFrequency (%)
남해군 31
18.2%
경상남도 29
17.1%
남해읍 22
 
12.9%
2층 6
 
3.5%
화전로78번길 5
 
2.9%
화전로 4
 
2.4%
남면 4
 
2.4%
남서대로 4
 
2.4%
2835 3
 
1.8%
남해대로 3
 
1.8%
Other values (52) 59
34.7%
2024-04-21T10:53:53.516046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
18.4%
남 93
 
12.3%
해 57
 
7.6%
로 32
 
4.2%
군 31
 
4.1%
도 30
 
4.0%
상 29
 
3.8%
경 29
 
3.8%
1 26
 
3.4%
읍 23
 
3.1%
Other values (41) 265
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 457
60.6%
Space Separator 139
 
18.4%
Decimal Number 139
 
18.4%
Dash Punctuation 10
 
1.3%
Other Punctuation 9
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 93
20.4%
해 57
12.5%
로 32
 
7.0%
군 31
 
6.8%
도 30
 
6.6%
상 29
 
6.3%
경 29
 
6.3%
읍 23
 
5.0%
번 17
 
3.7%
길 17
 
3.7%
Other values (28) 99
21.7%
Decimal Number
ValueCountFrequency (%)
1 26
18.7%
2 20
14.4%
7 18
12.9%
3 16
11.5%
9 14
10.1%
8 13
9.4%
0 9
 
6.5%
4 8
 
5.8%
6 8
 
5.8%
5 7
 
5.0%
Space Separator
ValueCountFrequency (%)
139
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 457
60.6%
Common 297
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 93
20.4%
해 57
12.5%
로 32
 
7.0%
군 31
 
6.8%
도 30
 
6.6%
상 29
 
6.3%
경 29
 
6.3%
읍 23
 
5.0%
번 17
 
3.7%
길 17
 
3.7%
Other values (28) 99
21.7%
Common
ValueCountFrequency (%)
139
46.8%
1 26
 
8.8%
2 20
 
6.7%
7 18
 
6.1%
3 16
 
5.4%
9 14
 
4.7%
8 13
 
4.4%
- 10
 
3.4%
, 9
 
3.0%
0 9
 
3.0%
Other values (3) 23
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 457
60.6%
ASCII 297
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
46.8%
1 26
 
8.8%
2 20
 
6.7%
7 18
 
6.1%
3 16
 
5.4%
9 14
 
4.7%
8 13
 
4.4%
- 10
 
3.4%
, 9
 
3.0%
0 9
 
3.0%
Other values (3) 23
 
7.7%
Hangul
ValueCountFrequency (%)
남 93
20.4%
해 57
12.5%
로 32
 
7.0%
군 31
 
6.8%
도 30
 
6.6%
상 29
 
6.3%
경 29
 
6.3%
읍 23
 
5.0%
번 17
 
3.7%
길 17
 
3.7%
Other values (28) 99
21.7%

Interactions

2024-04-21T10:53:51.127306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:53:53.601891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시설업종시설유형체육시설명주소
번호1.0000.8860.8741.0001.000
시설업종0.8861.0001.0001.0001.000
시설유형0.8741.0001.0001.0001.000
체육시설명1.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.000
2024-04-21T10:53:53.697579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시설업종
번호1.0000.579
시설업종0.5791.000

Missing values

2024-04-21T10:53:51.304253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:53:51.401517image/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

번호시설업종시설유형체육시설명주소
01체력단련장업체력단련장남해라이프짐 앤 휘트니스경상남도 남해군 남해읍 망운로19번길 39
12체력단련장업체력단련장비타민 휘트니스경상남도 남해군 남해읍 화전로78번길 19-5
23체력단련장업체력단련장M피트니스경상남도 남해군 창선면 율도로 8
34자유업탁구장대경탁구장경상남도 남해군 남해읍 화전로122번길 37-17, 2층
45자유업라인댄스+에어로빅쏘울라인댄스경상남도 남해군 남해읍 화전로 170
56체육도장업태권도동아태권도장경상남도 남해군 남해읍 망운로10번길 10
67체육도장업태권도경남체육관경상남도 남해군 남해군 남해읍 화전로96번길 10, 2층
78체육도장업태권도도담태권도경상남도 남해군 남해읍 화전로 37
89체육도장업검도남해검도관경상남도 남해군 남해읍 화전로122번길 11
910골프연습장업실내발리실내스크린골프연습장경상남도 남해군 남해읍 남해대로 2835, 7층
번호시설업종시설유형체육시설명주소
2122당구장업당구장길당구장경상남도 남해군 남면 남서대로 775-1
2223자유업볼링장터미널볼링센터경상남도 남해군 남해읍 남해대로 2835, 3층
2324자유업필라테스+요가나매필라테스앤요가경상남도 남해군 남해읍 망운로 86
2425자유업요가수리야요가경상남도 남해군 남해읍 화전로78번길 12, 3층
2526자유업기원미조기원경상남도 남해군 미조면 미조로14번길 4-9, 2층
2627체력단련장업헬스장어울림문화센터경상남도 남해군 남해군 이동면 무림로 32-12, 303호
2728수영장업수영장워터하우스경상남도 남해군 남면 남서대로 1179번길 40-109
2829자유업필라테스해동필라테스경상남도 남해군 남해읍 화전로78번길 17-30 2층
2930가상체험 체육시설업(골프종목)스크린 골프보물섬 스크린골프남해읍 화전로 96번나길 23
3031가상체험 체육시설업(골프종목)스크린 골프대영 스크린골프납해읍 평현로 193