Overview

Dataset statistics

Number of variables5
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory46.4 B

Variable types

Numeric2
Text3

Dataset

Description충청북도 영동군 관내의 숙박시설중에서 모텔과 여관에 대한 정보이며 연번, 숙박업명, 소재지주소, 전화번호, 객실수를 제공합니다.
Author충청북도 영동군
URLhttps://www.data.go.kr/data/15021983/fileData.do

Alerts

연번 has unique valuesUnique
업소명 has unique valuesUnique
영업소 주소(도로명) has unique valuesUnique
소재지전화 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:55:33.554418
Analysis finished2023-12-12 12:55:34.326905
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T21:55:34.387613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-12T21:55:34.511791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

업소명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T21:55:34.714366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length4.8
Min length3

Characters and Unicode

Total characters144
Distinct characters77
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

Unique30 ?
Unique (%)100.0%

Sample

1st row마미미니텔
2nd row오복여관
3rd row신영모텔
4th row용산여관
5th row대흥모텔
ValueCountFrequency (%)
모텔 3
 
8.1%
마미미니텔 1
 
2.7%
스탕달 1
 
2.7%
더 1
 
2.7%
제이 1
 
2.7%
두바이모텔 1
 
2.7%
몽블랑모텔 1
 
2.7%
32일 1
 
2.7%
황토방 1
 
2.7%
힐링무인텔 1
 
2.7%
Other values (25) 25
67.6%
2023-12-12T21:55:35.070596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 18
 
12.5%
모 15
 
10.4%
7
 
4.9%
파 6
 
4.2%
크 6
 
4.2%
산 5
 
3.5%
장 4
 
2.8%
여 3
 
2.1%
관 3
 
2.1%
명 2
 
1.4%
Other values (67) 75
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133
92.4%
Space Separator 7
 
4.9%
Decimal Number 2
 
1.4%
Open Punctuation 1
 
0.7%
Close Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 18
 
13.5%
모 15
 
11.3%
파 6
 
4.5%
크 6
 
4.5%
산 5
 
3.8%
장 4
 
3.0%
여 3
 
2.3%
관 3
 
2.3%
명 2
 
1.5%
아 2
 
1.5%
Other values (62) 69
51.9%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133
92.4%
Common 11
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 18
 
13.5%
모 15
 
11.3%
파 6
 
4.5%
크 6
 
4.5%
산 5
 
3.8%
장 4
 
3.0%
여 3
 
2.3%
관 3
 
2.3%
명 2
 
1.5%
아 2
 
1.5%
Other values (62) 69
51.9%
Common
ValueCountFrequency (%)
7
63.6%
( 1
 
9.1%
3 1
 
9.1%
2 1
 
9.1%
) 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133
92.4%
ASCII 11
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 18
 
13.5%
모 15
 
11.3%
파 6
 
4.5%
크 6
 
4.5%
산 5
 
3.8%
장 4
 
3.0%
여 3
 
2.3%
관 3
 
2.3%
명 2
 
1.5%
아 2
 
1.5%
Other values (62) 69
51.9%
ASCII
ValueCountFrequency (%)
7
63.6%
( 1
 
9.1%
3 1
 
9.1%
2 1
 
9.1%
) 1
 
9.1%

영업소 주소(도로명)
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T21:55:35.294483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length22.033333
Min length19

Characters and Unicode

Total characters661
Distinct characters66
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

Unique30 ?
Unique (%)100.0%

Sample

1st row충청북도 영동군 영동읍 계산로8길 5-7
2nd row충청북도 영동군 영동읍 계산로 82-1
3rd row충청북도 영동군 영동읍 중앙로 29
4th row충청북도 영동군 용산면 용산로 333-1
5th row충청북도 영동군 영동읍 중앙로1길 5
ValueCountFrequency (%)
충청북도 30
19.7%
영동군 30
19.7%
영동읍 14
 
9.2%
황간면 4
 
2.6%
영동황간로 4
 
2.6%
추풍령면 3
 
2.0%
용산면 3
 
2.0%
물한계곡로 2
 
1.3%
계산로8길 2
 
1.3%
양산면 2
 
1.3%
Other values (54) 58
38.2%
2023-12-12T21:55:35.760023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
18.5%
영 49
 
7.4%
동 49
 
7.4%
충 30
 
4.5%
북 30
 
4.5%
도 30
 
4.5%
군 30
 
4.5%
청 30
 
4.5%
로 29
 
4.4%
1 20
 
3.0%
Other values (56) 242
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
64.3%
Space Separator 122
 
18.5%
Decimal Number 101
 
15.3%
Dash Punctuation 12
 
1.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 49
11.5%
동 49
11.5%
충 30
 
7.1%
북 30
 
7.1%
도 30
 
7.1%
군 30
 
7.1%
청 30
 
7.1%
로 29
 
6.8%
산 19
 
4.5%
면 16
 
3.8%
Other values (43) 113
26.6%
Decimal Number
ValueCountFrequency (%)
1 20
19.8%
2 20
19.8%
4 12
11.9%
8 10
9.9%
3 8
 
7.9%
5 7
 
6.9%
6 7
 
6.9%
7 7
 
6.9%
9 5
 
5.0%
0 5
 
5.0%
Space Separator
ValueCountFrequency (%)
122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
64.3%
Common 236
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 49
11.5%
동 49
11.5%
충 30
 
7.1%
북 30
 
7.1%
도 30
 
7.1%
군 30
 
7.1%
청 30
 
7.1%
로 29
 
6.8%
산 19
 
4.5%
면 16
 
3.8%
Other values (43) 113
26.6%
Common
ValueCountFrequency (%)
122
51.7%
1 20
 
8.5%
2 20
 
8.5%
4 12
 
5.1%
- 12
 
5.1%
8 10
 
4.2%
3 8
 
3.4%
5 7
 
3.0%
6 7
 
3.0%
7 7
 
3.0%
Other values (3) 11
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
64.3%
ASCII 236
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
51.7%
1 20
 
8.5%
2 20
 
8.5%
4 12
 
5.1%
- 12
 
5.1%
8 10
 
4.2%
3 8
 
3.4%
5 7
 
3.0%
6 7
 
3.0%
7 7
 
3.0%
Other values (3) 11
 
4.7%
Hangul
ValueCountFrequency (%)
영 49
11.5%
동 49
11.5%
충 30
 
7.1%
북 30
 
7.1%
도 30
 
7.1%
군 30
 
7.1%
청 30
 
7.1%
로 29
 
6.8%
산 19
 
4.5%
면 16
 
3.8%
Other values (43) 113
26.6%

소재지전화
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T21:55:36.058645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
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

Unique30 ?
Unique (%)100.0%

Sample

1st row043-743-0650
2nd row043-742-1608
3rd row043-742-0222
4th row043-742-9013
5th row043-744-8287
ValueCountFrequency (%)
043-743-0650 1
 
3.3%
043-742-1608 1
 
3.3%
043-745-2255 1
 
3.3%
043-745-6969 1
 
3.3%
043-742-6969 1
 
3.3%
043-743-9992 1
 
3.3%
043-744-7228 1
 
3.3%
043-745-1317 1
 
3.3%
043-745-2220 1
 
3.3%
043-744-2235 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T21:55:36.476677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 71
19.7%
- 60
16.7%
0 44
12.2%
3 43
11.9%
7 40
11.1%
2 32
8.9%
5 19
 
5.3%
8 16
 
4.4%
9 14
 
3.9%
1 11
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 71
23.7%
0 44
14.7%
3 43
14.3%
7 40
13.3%
2 32
10.7%
5 19
 
6.3%
8 16
 
5.3%
9 14
 
4.7%
1 11
 
3.7%
6 10
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 71
19.7%
- 60
16.7%
0 44
12.2%
3 43
11.9%
7 40
11.1%
2 32
8.9%
5 19
 
5.3%
8 16
 
4.4%
9 14
 
3.9%
1 11
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 71
19.7%
- 60
16.7%
0 44
12.2%
3 43
11.9%
7 40
11.1%
2 32
8.9%
5 19
 
5.3%
8 16
 
4.4%
9 14
 
3.9%
1 11
 
3.1%

객실수
Real number (ℝ)

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.066667
Minimum4
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T21:55:36.647605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.35
Q111.75
median16.5
Q324
95-th percentile33
Maximum34
Range30
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation8.6818611
Coefficient of variation (CV)0.48054582
Kurtosis-0.79279876
Mean18.066667
Median Absolute Deviation (MAD)6.5
Skewness0.21560343
Sum542
Variance75.374713
MonotonicityNot monotonic
2023-12-12T21:55:36.762854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
15 3
 
10.0%
16 3
 
10.0%
7 3
 
10.0%
4 2
 
6.7%
33 2
 
6.7%
24 2
 
6.7%
17 2
 
6.7%
10 2
 
6.7%
22 1
 
3.3%
18 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
4 2
6.7%
7 3
10.0%
10 2
6.7%
11 1
 
3.3%
14 1
 
3.3%
15 3
10.0%
16 3
10.0%
17 2
6.7%
18 1
 
3.3%
20 1
 
3.3%
ValueCountFrequency (%)
34 1
3.3%
33 2
6.7%
30 1
3.3%
28 1
3.3%
27 1
3.3%
25 1
3.3%
24 2
6.7%
23 1
3.3%
22 1
3.3%
20 1
3.3%

Interactions

2023-12-12T21:55:33.995204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:33.784030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:34.088078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:33.907017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:55:36.846908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명영업소 주소(도로명)소재지전화객실수
연번1.0001.0001.0001.0000.342
업소명1.0001.0001.0001.0001.000
영업소 주소(도로명)1.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.000
객실수0.3421.0001.0001.0001.000
2023-12-12T21:55:36.983360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번객실수
연번1.0000.107
객실수0.1071.000

Missing values

2023-12-12T21:55:34.193328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:55:34.293181image/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

연번업소명영업소 주소(도로명)소재지전화객실수
01마미미니텔충청북도 영동군 영동읍 계산로8길 5-7043-743-06504
12오복여관충청북도 영동군 영동읍 계산로 82-1043-742-16087
23신영모텔충청북도 영동군 영동읍 중앙로 29043-742-022227
34용산여관충청북도 영동군 용산면 용산로 333-1043-742-90137
45대흥모텔충청북도 영동군 영동읍 중앙로1길 5043-744-828728
56영동모텔충청북도 영동군 영동읍 계산로8길 5-12043-744-922033
67비취파크모텔충청북도 영동군 황간면 소계로 14043-742-600123
78애플모텔충청북도 영동군 영동읍 학산영동로 1199043-745-555724
89에덴파크장충청북도 영동군 추풍령면 작점로 28043-742-391315
910카리브모텔충청북도 영동군 추풍령면 신안로 12043-742-993816
연번업소명영업소 주소(도로명)소재지전화객실수
2021더 제이충청북도 영동군 영동읍 계산로1길 22-1043-745-662325
2122두바이모텔충청북도 영동군 영동읍 계산로6길 7-1043-744-223530
2223몽블랑모텔충청북도 영동군 영동읍 중앙로2길 6-12043-745-222034
2324모텔 32일충청북도 영동군 영동읍 계산로 43-2043-745-131724
2425스탕달 모텔충청북도 영동군 영동읍 계산로1길 24043-744-722833
2526황토방 산장충청북도 영동군 상촌면 물한계곡로 464-10043-743-999210
2627텐 모텔충청북도 영동군 황간면 영동황간로 1452-282043-742-696917
2728콜모텔충청북도 영동군 황간면 영동황간로 1452-284043-745-696915
2829수 무인텔충청북도 영동군 용산면 남부로 1500-7, 수 무인호텔043-745-225518
2930명작(물한산장 펜션)충청북도 영동군 상촌면 물한계곡로 706043-743-76454