Overview

Dataset statistics

Number of variables5
Number of observations76
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory42.7 B

Variable types

Categorical2
Text2
Numeric1

Dataset

Description경상남도 내 한옥체험업 현황입니다. 경상남도 내 한옥체업업의 업체명, 소재지, 객실수 등에 관한 정보를 제공합니다.
Author경상남도
URLhttps://www.data.go.kr/data/15055995/fileData.do

Alerts

업종분류 has constant value ""Constant
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:13:22.220879
Analysis finished2023-12-12 19:13:22.782471
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct13
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size740.0 B
거창군
20 
밀양시
11 
함양군
11 
산청군
10 
하동군
7 
Other values (8)
17 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)3.9%

Sample

1st row진주시
2nd row통영시
3rd row통영시
4th row통영시
5th row김해시

Common Values

ValueCountFrequency (%)
거창군 20
26.3%
밀양시 11
14.5%
함양군 11
14.5%
산청군 10
13.2%
하동군 7
 
9.2%
통영시 3
 
3.9%
김해시 3
 
3.9%
고성군 3
 
3.9%
합천군 3
 
3.9%
거제시 2
 
2.6%
Other values (3) 3
 
3.9%

Length

2023-12-13T04:13:22.873698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
거창군 20
26.3%
밀양시 11
14.5%
함양군 11
14.5%
산청군 10
13.2%
하동군 7
 
9.2%
통영시 3
 
3.9%
김해시 3
 
3.9%
고성군 3
 
3.9%
합천군 3
 
3.9%
거제시 2
 
2.6%
Other values (3) 3
 
3.9%

업종분류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
한옥체험업
76 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한옥체험업 76
100.0%

Length

2023-12-13T04:13:23.059791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:13:23.156833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한옥체험업 76
100.0%

업체명
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-13T04:13:23.367111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length6.5263158
Min length2

Characters and Unicode

Total characters496
Distinct characters166
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)100.0%

Sample

1st row승산에부자한옥
2nd row안정궁 관광 한옥펜션
3rd row잊음
4th row서피랑와옥
5th row김해한옥체험관
ValueCountFrequency (%)
한옥체험관 3
 
2.8%
남사예담촌 2
 
1.9%
남계 2
 
1.9%
단성면 2
 
1.9%
지리산 2
 
1.9%
한옥 2
 
1.9%
승산에부자한옥 1
 
0.9%
관광 1
 
0.9%
한옥체험동 1
 
0.9%
죽림지점 1
 
0.9%
Other values (89) 89
84.0%
2023-12-13T04:13:23.861252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
옥 36
 
7.3%
30
 
6.0%
가 27
 
5.4%
한 19
 
3.8%
신 16
 
3.2%
고 15
 
3.0%
관 9
 
1.8%
범 9
 
1.8%
체 8
 
1.6%
험 8
 
1.6%
Other values (156) 319
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 462
93.1%
Space Separator 30
 
6.0%
Other Symbol 2
 
0.4%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
옥 36
 
7.8%
가 27
 
5.8%
한 19
 
4.1%
신 16
 
3.5%
고 15
 
3.2%
관 9
 
1.9%
범 9
 
1.9%
체 8
 
1.7%
험 8
 
1.7%
정 7
 
1.5%
Other values (152) 308
66.7%
Space Separator
ValueCountFrequency (%)
30
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 464
93.5%
Common 32
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
옥 36
 
7.8%
가 27
 
5.8%
한 19
 
4.1%
신 16
 
3.4%
고 15
 
3.2%
관 9
 
1.9%
범 9
 
1.9%
체 8
 
1.7%
험 8
 
1.7%
정 7
 
1.5%
Other values (153) 310
66.8%
Common
ValueCountFrequency (%)
30
93.8%
( 1
 
3.1%
) 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 462
93.1%
ASCII 32
 
6.5%
None 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
옥 36
 
7.8%
가 27
 
5.8%
한 19
 
4.1%
신 16
 
3.5%
고 15
 
3.2%
관 9
 
1.9%
범 9
 
1.9%
체 8
 
1.7%
험 8
 
1.7%
정 7
 
1.5%
Other values (152) 308
66.7%
ASCII
ValueCountFrequency (%)
30
93.8%
( 1
 
3.1%
) 1
 
3.1%
None
ValueCountFrequency (%)
㈜ 2
100.0%

소재지
Text

Distinct74
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-13T04:13:24.205288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length18.789474
Min length13

Characters and Unicode

Total characters1428
Distinct characters124
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

Unique72 ?
Unique (%)94.7%

Sample

1st row경상남도 진주시 지수면 승산길45번길 16
2nd row통영시 광도면 안정2길 95
3rd row통영시 충렬4길 33-5 (명정동)
4th row통영시 충렬4길 25-8 (명정동)
5th row경상남도 김해시 가락로93번길 40 (봉황동)
ValueCountFrequency (%)
경상남도 22
 
6.7%
거창군 20
 
6.1%
위천면 19
 
5.8%
황산1길 18
 
5.5%
함양군 11
 
3.4%
밀양시 11
 
3.4%
산청군 10
 
3.1%
단성면 8
 
2.5%
지리산대로 7
 
2.1%
하동군 5
 
1.5%
Other values (158) 195
59.8%
2023-12-13T04:13:24.725792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
250
 
17.5%
면 70
 
4.9%
1 66
 
4.6%
길 63
 
4.4%
군 54
 
3.8%
- 47
 
3.3%
산 44
 
3.1%
2 31
 
2.2%
양 30
 
2.1%
3 29
 
2.0%
Other values (114) 744
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 823
57.6%
Decimal Number 295
 
20.7%
Space Separator 250
 
17.5%
Dash Punctuation 47
 
3.3%
Close Punctuation 6
 
0.4%
Open Punctuation 6
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 70
 
8.5%
길 63
 
7.7%
군 54
 
6.6%
산 44
 
5.3%
양 30
 
3.6%
상 26
 
3.2%
도 26
 
3.2%
천 25
 
3.0%
남 25
 
3.0%
경 23
 
2.8%
Other values (99) 437
53.1%
Decimal Number
ValueCountFrequency (%)
1 66
22.4%
2 31
10.5%
3 29
9.8%
9 28
9.5%
6 27
9.2%
7 27
9.2%
8 22
 
7.5%
0 22
 
7.5%
5 22
 
7.5%
4 21
 
7.1%
Space Separator
ValueCountFrequency (%)
250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 823
57.6%
Common 605
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 70
 
8.5%
길 63
 
7.7%
군 54
 
6.6%
산 44
 
5.3%
양 30
 
3.6%
상 26
 
3.2%
도 26
 
3.2%
천 25
 
3.0%
남 25
 
3.0%
경 23
 
2.8%
Other values (99) 437
53.1%
Common
ValueCountFrequency (%)
250
41.3%
1 66
 
10.9%
- 47
 
7.8%
2 31
 
5.1%
3 29
 
4.8%
9 28
 
4.6%
6 27
 
4.5%
7 27
 
4.5%
8 22
 
3.6%
0 22
 
3.6%
Other values (5) 56
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 823
57.6%
ASCII 605
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
250
41.3%
1 66
 
10.9%
- 47
 
7.8%
2 31
 
5.1%
3 29
 
4.8%
9 28
 
4.6%
6 27
 
4.5%
7 27
 
4.5%
8 22
 
3.6%
0 22
 
3.6%
Other values (5) 56
 
9.3%
Hangul
ValueCountFrequency (%)
면 70
 
8.5%
길 63
 
7.7%
군 54
 
6.6%
산 44
 
5.3%
양 30
 
3.6%
상 26
 
3.2%
도 26
 
3.2%
천 25
 
3.0%
남 25
 
3.0%
경 23
 
2.8%
Other values (99) 437
53.1%

객실수
Real number (ℝ)

Distinct13
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1842105
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2023-12-13T04:13:24.893509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q37
95-th percentile10.5
Maximum23
Range22
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.3969026
Coefficient of variation (CV)0.6552401
Kurtosis9.268643
Mean5.1842105
Median Absolute Deviation (MAD)1
Skewness2.4180031
Sum394
Variance11.538947
MonotonicityNot monotonic
2023-12-13T04:13:25.018125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 18
23.7%
4 16
21.1%
2 9
11.8%
8 7
 
9.2%
5 7
 
9.2%
6 5
 
6.6%
7 4
 
5.3%
9 3
 
3.9%
13 2
 
2.6%
10 2
 
2.6%
Other values (3) 3
 
3.9%
ValueCountFrequency (%)
1 1
 
1.3%
2 9
11.8%
3 18
23.7%
4 16
21.1%
5 7
 
9.2%
6 5
 
6.6%
7 4
 
5.3%
8 7
 
9.2%
9 3
 
3.9%
10 2
 
2.6%
ValueCountFrequency (%)
23 1
 
1.3%
13 2
 
2.6%
12 1
 
1.3%
10 2
 
2.6%
9 3
 
3.9%
8 7
9.2%
7 4
 
5.3%
6 5
 
6.6%
5 7
9.2%
4 16
21.1%

Interactions

2023-12-13T04:13:22.514015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:13:25.110355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명업체명소재지객실수
시군명1.0001.0001.0000.000
업체명1.0001.0001.0001.000
소재지1.0001.0001.0000.990
객실수0.0001.0000.9901.000
2023-12-13T04:13:25.216481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객실수시군명
객실수1.0000.000
시군명0.0001.000

Missing values

2023-12-13T04:13:22.619818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:13:22.742854image/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

시군명업종분류업체명소재지객실수
0진주시한옥체험업승산에부자한옥경상남도 진주시 지수면 승산길45번길 164
1통영시한옥체험업안정궁 관광 한옥펜션통영시 광도면 안정2길 957
2통영시한옥체험업잊음통영시 충렬4길 33-5 (명정동)2
3통영시한옥체험업서피랑와옥통영시 충렬4길 25-8 (명정동)3
4김해시한옥체험업김해한옥체험관경상남도 김해시 가락로93번길 40 (봉황동)13
5김해시한옥체험업무척산전통한옥경상남도 김해시 생림면 안양로358번길 388
6김해시한옥체험업정감한옥스테이경상남도 김해시 대동면 주중길 98-83
7밀양시한옥체험업열두대문밀양시 밀양향교3길17(교동)3
8밀양시한옥체험업얼음골한옥펜션밀양시 산내면 하양지안길11-123
9밀양시한옥체험업향우당밀양시 산내면 산내야촌1길7-83
시군명업종분류업체명소재지객실수
66거창군한옥체험업신용갑가옥거창군 위천면 황산1길 97-96
67거창군한옥체험업신창범가옥거창군 위천면 황산1길 856
68거창군한옥체험업신용원가옥거창군 위천면 황산1길 97-154
69거창군한옥체험업원학고가거창군 위천면 황산1길 109-59
70거창군한옥체험업황고종택거창군 위천면 황산1길 63-223
71거창군한옥체험업신재범가옥거창군 위천면 황산1길 63-112
72거창군한옥체험업이형도가옥거창군 가조면 기리1길 402
73합천군한옥체험업삼가관광농원합천군 삼가면 소오길 40-79
74합천군한옥체험업묵와고가합천군 묘산면 화양안성길 150-65
75합천군한옥체험업팔심리묘전합천군 묘산면 광산봉곡길 370-84