Overview

Dataset statistics

Number of variables7
Number of observations63
Missing cells23
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory59.0 B

Variable types

Numeric1
Text3
DateTime3

Dataset

Description전라남도 광양시에 위치한 체육도장(체육관, 태권도, 검도장) 현황(상호명, 주소, 전화번호, 최초등록일, 최근변경일 등)에 대한 데이터를 전국민에게 무료로 제공합니다.*최근변경일 공란 사유 : 최초등록 후 변경 사항 없음.
Author전라남도 광양시
URLhttps://www.data.go.kr/data/15036649/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 1 (1.6%) missing valuesMissing
최근변경일자 has 22 (34.9%) missing valuesMissing
연번 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 15:38:39.090552
Analysis finished2024-03-14 15:38:41.181176
Duration2.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-15T00:38:41.441957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.1
Q116.5
median32
Q347.5
95-th percentile59.9
Maximum63
Range62
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.330303
Coefficient of variation (CV)0.57282196
Kurtosis-1.2
Mean32
Median Absolute Deviation (MAD)16
Skewness0
Sum2016
Variance336
MonotonicityStrictly increasing
2024-03-15T00:38:42.195624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%

상호명
Text

Distinct61
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size632.0 B
2024-03-15T00:38:43.185994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.5873016
Min length4

Characters and Unicode

Total characters415
Distinct characters115
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)93.7%

Sample

1st row고려체육관
2nd row동광양키즈태권도장
3rd row드레곤체육관
4th row광양체육관
5th row진상체육관
ValueCountFrequency (%)
태권도장 7
 
9.0%
용호체육관 2
 
2.6%
태권도 2
 
2.6%
인성 2
 
2.6%
대국체육관 2
 
2.6%
한국체대 1
 
1.3%
백궁 1
 
1.3%
라온태권도장 1
 
1.3%
광양jb복싱클럽 1
 
1.3%
마로태권도 1
 
1.3%
Other values (58) 58
74.4%
2024-03-15T00:38:44.645583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 43
 
10.4%
권 33
 
8.0%
태 33
 
8.0%
관 24
 
5.8%
장 20
 
4.8%
체 19
 
4.6%
육 18
 
4.3%
15
 
3.6%
대 8
 
1.9%
광 8
 
1.9%
Other values (105) 194
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 393
94.7%
Space Separator 15
 
3.6%
Uppercase Letter 7
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 43
 
10.9%
권 33
 
8.4%
태 33
 
8.4%
관 24
 
6.1%
장 20
 
5.1%
체 19
 
4.8%
육 18
 
4.6%
대 8
 
2.0%
광 8
 
2.0%
양 8
 
2.0%
Other values (98) 179
45.5%
Uppercase Letter
ValueCountFrequency (%)
J 2
28.6%
K 1
14.3%
R 1
14.3%
M 1
14.3%
P 1
14.3%
B 1
14.3%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 393
94.7%
Common 15
 
3.6%
Latin 7
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 43
 
10.9%
권 33
 
8.4%
태 33
 
8.4%
관 24
 
6.1%
장 20
 
5.1%
체 19
 
4.8%
육 18
 
4.6%
대 8
 
2.0%
광 8
 
2.0%
양 8
 
2.0%
Other values (98) 179
45.5%
Latin
ValueCountFrequency (%)
J 2
28.6%
K 1
14.3%
R 1
14.3%
M 1
14.3%
P 1
14.3%
B 1
14.3%
Common
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 393
94.7%
ASCII 22
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 43
 
10.9%
권 33
 
8.4%
태 33
 
8.4%
관 24
 
6.1%
장 20
 
5.1%
체 19
 
4.8%
육 18
 
4.6%
대 8
 
2.0%
광 8
 
2.0%
양 8
 
2.0%
Other values (98) 179
45.5%
ASCII
ValueCountFrequency (%)
15
68.2%
J 2
 
9.1%
K 1
 
4.5%
R 1
 
4.5%
M 1
 
4.5%
P 1
 
4.5%
B 1
 
4.5%

주소
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size632.0 B
2024-03-15T00:38:45.943002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length28.968254
Min length19

Characters and Unicode

Total characters1825
Distinct characters125
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st row전라남도 광양시 광양읍 우산리 606
2nd row전라남도 광양시 불로로 139 (중동)
3rd row전라남도 광양시 희망길 12-14, 제철협력회관 (금호동)
4th row전라남도 광양시 광양읍 대림오성로 18, 3층
5th row전라남도 광양시 진상면 신시길 148
ValueCountFrequency (%)
전라남도 63
 
15.6%
광양시 63
 
15.6%
광양읍 24
 
5.9%
2층 20
 
4.9%
중동 18
 
4.4%
3층 12
 
3.0%
마동 10
 
2.5%
상가동 10
 
2.5%
사동로 7
 
1.7%
와룡길 6
 
1.5%
Other values (130) 172
42.5%
2024-03-15T00:38:47.780062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
18.8%
광 107
 
5.9%
양 92
 
5.0%
시 67
 
3.7%
남 64
 
3.5%
1 64
 
3.5%
전 63
 
3.5%
도 63
 
3.5%
라 63
 
3.5%
, 62
 
3.4%
Other values (115) 836
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1054
57.8%
Space Separator 344
 
18.8%
Decimal Number 268
 
14.7%
Other Punctuation 63
 
3.5%
Close Punctuation 46
 
2.5%
Open Punctuation 46
 
2.5%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 107
 
10.2%
양 92
 
8.7%
시 67
 
6.4%
남 64
 
6.1%
전 63
 
6.0%
도 63
 
6.0%
라 63
 
6.0%
동 58
 
5.5%
층 41
 
3.9%
로 35
 
3.3%
Other values (99) 401
38.0%
Decimal Number
ValueCountFrequency (%)
1 64
23.9%
2 48
17.9%
3 44
16.4%
0 34
12.7%
4 19
 
7.1%
9 17
 
6.3%
6 15
 
5.6%
7 14
 
5.2%
8 8
 
3.0%
5 5
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 62
98.4%
@ 1
 
1.6%
Space Separator
ValueCountFrequency (%)
344
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1054
57.8%
Common 771
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 107
 
10.2%
양 92
 
8.7%
시 67
 
6.4%
남 64
 
6.1%
전 63
 
6.0%
도 63
 
6.0%
라 63
 
6.0%
동 58
 
5.5%
층 41
 
3.9%
로 35
 
3.3%
Other values (99) 401
38.0%
Common
ValueCountFrequency (%)
344
44.6%
1 64
 
8.3%
, 62
 
8.0%
2 48
 
6.2%
) 46
 
6.0%
( 46
 
6.0%
3 44
 
5.7%
0 34
 
4.4%
4 19
 
2.5%
9 17
 
2.2%
Other values (6) 47
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1054
57.8%
ASCII 771
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
44.6%
1 64
 
8.3%
, 62
 
8.0%
2 48
 
6.2%
) 46
 
6.0%
( 46
 
6.0%
3 44
 
5.7%
0 34
 
4.4%
4 19
 
2.5%
9 17
 
2.2%
Other values (6) 47
 
6.1%
Hangul
ValueCountFrequency (%)
광 107
 
10.2%
양 92
 
8.7%
시 67
 
6.4%
남 64
 
6.1%
전 63
 
6.0%
도 63
 
6.0%
라 63
 
6.0%
동 58
 
5.5%
층 41
 
3.9%
로 35
 
3.3%
Other values (99) 401
38.0%

전화번호
Text

MISSING 

Distinct60
Distinct (%)96.8%
Missing1
Missing (%)1.6%
Memory size632.0 B
2024-03-15T00:38:48.896662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.209677
Min length12

Characters and Unicode

Total characters757
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

Unique58 ?
Unique (%)93.5%

Sample

1st row061-763-5536
2nd row061-791-1355
3rd row061-792-2222
4th row061-763-2521
5th row061-772-5890
ValueCountFrequency (%)
061-793-8284 2
 
3.2%
061-761-0955 2
 
3.2%
061-792-6638 1
 
1.6%
061-791-8407 1
 
1.6%
061-763-5536 1
 
1.6%
061-761-5009 1
 
1.6%
061-795-1999 1
 
1.6%
061-761-0001 1
 
1.6%
061-761-2069 1
 
1.6%
061-762-4025 1
 
1.6%
Other values (50) 50
80.6%
2024-03-15T00:38:50.028764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 124
16.4%
1 112
14.8%
0 108
14.3%
6 89
11.8%
7 80
10.6%
9 61
8.1%
2 52
6.9%
5 39
 
5.2%
3 33
 
4.4%
8 33
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 633
83.6%
Dash Punctuation 124
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 112
17.7%
0 108
17.1%
6 89
14.1%
7 80
12.6%
9 61
9.6%
2 52
8.2%
5 39
 
6.2%
3 33
 
5.2%
8 33
 
5.2%
4 26
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 757
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 124
16.4%
1 112
14.8%
0 108
14.3%
6 89
11.8%
7 80
10.6%
9 61
8.1%
2 52
6.9%
5 39
 
5.2%
3 33
 
4.4%
8 33
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 757
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 124
16.4%
1 112
14.8%
0 108
14.3%
6 89
11.8%
7 80
10.6%
9 61
8.1%
2 52
6.9%
5 39
 
5.2%
3 33
 
4.4%
8 33
 
4.4%

최초등록일자
Date

Distinct59
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size632.0 B
Minimum1989-12-22 00:00:00
Maximum2023-09-07 00:00:00
2024-03-15T00:38:50.395618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:50.844511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최근변경일자
Date

MISSING 

Distinct40
Distinct (%)97.6%
Missing22
Missing (%)34.9%
Memory size632.0 B
Minimum1989-12-22 00:00:00
Maximum2023-03-03 00:00:00
2024-03-15T00:38:51.256480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:51.678355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size632.0 B
Minimum2024-01-05 00:00:00
Maximum2024-01-05 00:00:00
2024-03-15T00:38:52.106741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:52.332222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T00:38:39.944360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:38:52.465301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명주소전화번호최초등록일자최근변경일자
연번1.0001.0001.0000.9811.0001.000
상호명1.0001.0001.0000.9990.9921.000
주소1.0001.0001.0001.0001.0001.000
전화번호0.9810.9991.0001.0000.9770.995
최초등록일자1.0000.9921.0000.9771.0001.000
최근변경일자1.0001.0001.0000.9951.0001.000

Missing values

2024-03-15T00:38:40.343269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:38:40.764824image/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.
2024-03-15T00:38:41.080606image/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

연번상호명주소전화번호최초등록일자최근변경일자데이터기준일
01고려체육관전라남도 광양시 광양읍 우산리 606061-763-55361989-12-221989-12-222024-01-05
12동광양키즈태권도장전라남도 광양시 불로로 139 (중동)061-791-13551994-10-042019-10-152024-01-05
23드레곤체육관전라남도 광양시 희망길 12-14, 제철협력회관 (금호동)061-792-22221994-12-192007-03-122024-01-05
34광양체육관전라남도 광양시 광양읍 대림오성로 18, 3층061-763-25211998-05-012012-01-182024-01-05
45진상체육관전라남도 광양시 진상면 신시길 148061-772-58901999-08-301999-08-302024-01-05
56엘리트태권도장전라남도 광양시 광영로 146, 2층 (광영동)061-792-44592000-05-262022-12-132024-01-05
67용인대광양태권도장전라남도 광양시 광양읍 와룡길 40, 3층061-762-22272000-06-202018-12-262024-01-05
78경희체육관전라남도 광양시 공영로 39 (중동,호반리젠시빌상가201호)061-792-22952001-02-132001-02-132024-01-05
89경희태권도체육관전라남도 광양시 공영로 10, 상가동 301호 (중동, 금광아파트)061-794-08422002-01-292002-01-292024-01-05
910올림픽체육관전라남도 광양시 광양읍 대림오성로 139 (오성아파트상가301호)061-761-58882002-01-292002-01-292024-01-05
연번상호명주소전화번호최초등록일자최근변경일자데이터기준일
5354품태권도장전라남도 광양시 광장로 103, 3층 (중동)061-791-82292020-09-092021-12-292024-01-05
5455백운체육관전라남도 광양시 광양읍 성북길 40, 1층061-762-70822020-09-22<NA>2024-01-05
5556진근홍복싱센터전라남도 광양시 불로로 159, 5층층 (중동)061-818-12112021-08-09<NA>2024-01-05
5657세계태권도전라남도 광양시 자작길 23, 110동 203호 (마동, 중마노르웨이숲아파트)061-791-00002021-11-18<NA>2024-01-05
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