Overview

Dataset statistics

Number of variables5
Number of observations74
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory42.8 B

Variable types

Text3
Categorical1
Numeric1

Dataset

Description경상남도 창녕군 숙박업소 현황에 대한 데이터를 포함하고 있습니다.(업종명, 업소명, 영업소 주소, 소재지 전화번호, 객실수)
Author경상남도 창녕군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15025315

Alerts

객실수 is highly overall correlated with 업태명High correlation
업태명 is highly overall correlated with 객실수High correlation

Reproduction

Analysis started2023-12-11 00:46:59.684729
Analysis finished2023-12-11 00:47:00.508229
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct73
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-11T09:47:00.640216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12.5
Mean length5.8378378
Min length3

Characters and Unicode

Total characters432
Distinct characters143
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)97.3%

Sample

1st row춘산여관
2nd row일광여인숙
3rd rowDW모텔
4th row(주)레이크힐스호텔
5th row모텔퀸(MOTEL QUEEN)
ValueCountFrequency (%)
주식회사 3
 
3.8%
m모텔 2
 
2.5%
썸무인호텔 2
 
2.5%
신일장모텔 1
 
1.2%
힐마루골프텔 1
 
1.2%
주)키즈스테이호텔인부곡 1
 
1.2%
c.f모텔(씨에프모텔 1
 
1.2%
주)레이크힐스골프텔 1
 
1.2%
러브홀릭 1
 
1.2%
j2모텔 1
 
1.2%
Other values (66) 66
82.5%
2023-12-11T09:47:01.085063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 63
 
14.6%
모 35
 
8.1%
호 26
 
6.0%
인 10
 
2.3%
여 8
 
1.9%
관 8
 
1.9%
부 8
 
1.9%
온 7
 
1.6%
스 7
 
1.6%
주 7
 
1.6%
Other values (133) 253
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 387
89.6%
Uppercase Letter 24
 
5.6%
Open Punctuation 6
 
1.4%
Close Punctuation 6
 
1.4%
Space Separator 6
 
1.4%
Other Punctuation 2
 
0.5%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 63
 
16.3%
모 35
 
9.0%
호 26
 
6.7%
인 10
 
2.6%
여 8
 
2.1%
관 8
 
2.1%
부 8
 
2.1%
온 7
 
1.8%
스 7
 
1.8%
주 7
 
1.8%
Other values (109) 208
53.7%
Uppercase Letter
ValueCountFrequency (%)
M 3
 
12.5%
E 3
 
12.5%
Q 2
 
8.3%
U 2
 
8.3%
J 1
 
4.2%
C 1
 
4.2%
A 1
 
4.2%
V 1
 
4.2%
K 1
 
4.2%
F 1
 
4.2%
Other values (8) 8
33.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
· 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 387
89.6%
Latin 24
 
5.6%
Common 21
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 63
 
16.3%
모 35
 
9.0%
호 26
 
6.7%
인 10
 
2.6%
여 8
 
2.1%
관 8
 
2.1%
부 8
 
2.1%
온 7
 
1.8%
스 7
 
1.8%
주 7
 
1.8%
Other values (109) 208
53.7%
Latin
ValueCountFrequency (%)
M 3
 
12.5%
E 3
 
12.5%
Q 2
 
8.3%
U 2
 
8.3%
J 1
 
4.2%
C 1
 
4.2%
A 1
 
4.2%
V 1
 
4.2%
K 1
 
4.2%
F 1
 
4.2%
Other values (8) 8
33.3%
Common
ValueCountFrequency (%)
( 6
28.6%
) 6
28.6%
6
28.6%
2 1
 
4.8%
. 1
 
4.8%
· 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 387
89.6%
ASCII 44
 
10.2%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 63
 
16.3%
모 35
 
9.0%
호 26
 
6.7%
인 10
 
2.6%
여 8
 
2.1%
관 8
 
2.1%
부 8
 
2.1%
온 7
 
1.8%
스 7
 
1.8%
주 7
 
1.8%
Other values (109) 208
53.7%
ASCII
ValueCountFrequency (%)
( 6
13.6%
) 6
13.6%
6
13.6%
M 3
 
6.8%
E 3
 
6.8%
Q 2
 
4.5%
U 2
 
4.5%
2 1
 
2.3%
J 1
 
2.3%
C 1
 
2.3%
Other values (13) 13
29.5%
None
ValueCountFrequency (%)
· 1
100.0%

업태명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
여관업
52 
일반호텔
12 
숙박업 기타
 
4
휴양콘도미니엄업
 
3
관광호텔
 
2

Length

Max length8
Median length3
Mean length3.5675676
Min length3

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row여관업
2nd row여인숙업
3rd row여관업
4th row휴양콘도미니엄업
5th row여관업

Common Values

ValueCountFrequency (%)
여관업 52
70.3%
일반호텔 12
 
16.2%
숙박업 기타 4
 
5.4%
휴양콘도미니엄업 3
 
4.1%
관광호텔 2
 
2.7%
여인숙업 1
 
1.4%

Length

2023-12-11T09:47:01.279094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:47:01.422581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여관업 52
66.7%
일반호텔 12
 
15.4%
숙박업 4
 
5.1%
기타 4
 
5.1%
휴양콘도미니엄업 3
 
3.8%
관광호텔 2
 
2.6%
여인숙업 1
 
1.3%

영업소 주소(도로명)
Text

Distinct73
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-11T09:47:01.755322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length21.567568
Min length19

Characters and Unicode

Total characters1596
Distinct characters72
Distinct categories6 ?
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 (%)97.3%

Sample

1st row경상남도 창녕군 남지읍 낙동로 503
2nd row경상남도 창녕군 남지읍 남지시장길 10-3
3rd row경상남도 창녕군 부곡면 온천2길 27
4th row경상남도 창녕군 부곡면 온천2길 41
5th row경상남도 창녕군 부곡면 온천1길 49
ValueCountFrequency (%)
경상남도 74
19.9%
창녕군 74
19.9%
부곡면 25
 
6.7%
창녕읍 13
 
3.5%
남지읍 11
 
3.0%
온천중앙로 10
 
2.7%
온천2길 9
 
2.4%
남지중앙1길 6
 
1.6%
대합면 5
 
1.3%
계성면 5
 
1.3%
Other values (102) 139
37.5%
2023-12-11T09:47:02.160228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
18.6%
남 96
 
6.0%
창 92
 
5.8%
녕 90
 
5.6%
경 78
 
4.9%
도 77
 
4.8%
상 75
 
4.7%
군 74
 
4.6%
면 50
 
3.1%
1 47
 
2.9%
Other values (62) 620
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1044
65.4%
Space Separator 297
 
18.6%
Decimal Number 229
 
14.3%
Dash Punctuation 24
 
1.5%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 96
 
9.2%
창 92
 
8.8%
녕 90
 
8.6%
경 78
 
7.5%
도 77
 
7.4%
상 75
 
7.2%
군 74
 
7.1%
면 50
 
4.8%
로 40
 
3.8%
길 34
 
3.3%
Other values (48) 338
32.4%
Decimal Number
ValueCountFrequency (%)
1 47
20.5%
2 32
14.0%
5 28
12.2%
3 24
10.5%
4 23
10.0%
6 22
9.6%
9 17
 
7.4%
0 15
 
6.6%
7 13
 
5.7%
8 8
 
3.5%
Space Separator
ValueCountFrequency (%)
297
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1044
65.4%
Common 552
34.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 96
 
9.2%
창 92
 
8.8%
녕 90
 
8.6%
경 78
 
7.5%
도 77
 
7.4%
상 75
 
7.2%
군 74
 
7.1%
면 50
 
4.8%
로 40
 
3.8%
길 34
 
3.3%
Other values (48) 338
32.4%
Common
ValueCountFrequency (%)
297
53.8%
1 47
 
8.5%
2 32
 
5.8%
5 28
 
5.1%
- 24
 
4.3%
3 24
 
4.3%
4 23
 
4.2%
6 22
 
4.0%
9 17
 
3.1%
0 15
 
2.7%
Other values (4) 23
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1044
65.4%
ASCII 552
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
53.8%
1 47
 
8.5%
2 32
 
5.8%
5 28
 
5.1%
- 24
 
4.3%
3 24
 
4.3%
4 23
 
4.2%
6 22
 
4.0%
9 17
 
3.1%
0 15
 
2.7%
Other values (4) 23
 
4.2%
Hangul
ValueCountFrequency (%)
남 96
 
9.2%
창 92
 
8.8%
녕 90
 
8.6%
경 78
 
7.5%
도 77
 
7.4%
상 75
 
7.2%
군 74
 
7.1%
면 50
 
4.8%
로 40
 
3.8%
길 34
 
3.3%
Other values (48) 338
32.4%

소재지전화
Text

Distinct72
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-11T09:47:02.408894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length14.189189
Min length14

Characters and Unicode

Total characters1050
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)94.6%

Sample

1st row 055- 526-2224
2nd row 055- 526-2234
3rd row 055- 536-5555
4th row 055- 536-5181
5th row 055- 536-5511
ValueCountFrequency (%)
055 73
45.3%
533 6
 
3.7%
532 4
 
2.5%
521 4
 
2.5%
536-5181 2
 
1.2%
5519 2
 
1.2%
530-3000 1
 
0.6%
536-5573 1
 
0.6%
533-2720 1
 
0.6%
521-1083 1
 
0.6%
Other values (66) 66
41.0%
2023-12-11T09:47:02.804904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 260
24.8%
161
15.3%
- 148
14.1%
0 128
12.2%
3 86
 
8.2%
2 70
 
6.7%
6 63
 
6.0%
1 49
 
4.7%
7 28
 
2.7%
8 26
 
2.5%
Other values (2) 31
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 741
70.6%
Space Separator 161
 
15.3%
Dash Punctuation 148
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 260
35.1%
0 128
17.3%
3 86
 
11.6%
2 70
 
9.4%
6 63
 
8.5%
1 49
 
6.6%
7 28
 
3.8%
8 26
 
3.5%
9 16
 
2.2%
4 15
 
2.0%
Space Separator
ValueCountFrequency (%)
161
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 260
24.8%
161
15.3%
- 148
14.1%
0 128
12.2%
3 86
 
8.2%
2 70
 
6.7%
6 63
 
6.0%
1 49
 
4.7%
7 28
 
2.7%
8 26
 
2.5%
Other values (2) 31
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 260
24.8%
161
15.3%
- 148
14.1%
0 128
12.2%
3 86
 
8.2%
2 70
 
6.7%
6 63
 
6.0%
1 49
 
4.7%
7 28
 
2.7%
8 26
 
2.5%
Other values (2) 31
 
3.0%

객실수
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.148649
Minimum8
Maximum238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-11T09:47:03.016601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile11.65
Q115.25
median26.5
Q339.5
95-th percentile72.25
Maximum238
Range230
Interquartile range (IQR)24.25

Descriptive statistics

Standard deviation31.35859
Coefficient of variation (CV)0.91829666
Kurtosis24.219537
Mean34.148649
Median Absolute Deviation (MAD)11.5
Skewness4.1388838
Sum2527
Variance983.36116
MonotonicityNot monotonic
2023-12-11T09:47:03.148542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
14 5
 
6.8%
19 4
 
5.4%
15 4
 
5.4%
20 4
 
5.4%
29 4
 
5.4%
12 3
 
4.1%
26 3
 
4.1%
38 3
 
4.1%
56 3
 
4.1%
30 3
 
4.1%
Other values (29) 38
51.4%
ValueCountFrequency (%)
8 1
 
1.4%
9 1
 
1.4%
10 1
 
1.4%
11 1
 
1.4%
12 3
4.1%
13 3
4.1%
14 5
6.8%
15 4
5.4%
16 2
 
2.7%
18 2
 
2.7%
ValueCountFrequency (%)
238 1
 
1.4%
105 1
 
1.4%
92 1
 
1.4%
82 1
 
1.4%
67 1
 
1.4%
65 1
 
1.4%
60 2
2.7%
59 1
 
1.4%
58 1
 
1.4%
56 3
4.1%

Interactions

2023-12-11T09:47:00.287021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:47:03.233816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명업태명영업소 주소(도로명)소재지전화객실수
업소명1.0001.0000.9980.9951.000
업태명1.0001.0001.0001.0000.925
영업소 주소(도로명)0.9981.0001.0001.0000.000
소재지전화0.9951.0001.0001.0000.000
객실수1.0000.9250.0000.0001.000
2023-12-11T09:47:03.338225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객실수업태명
객실수1.0000.606
업태명0.6061.000

Missing values

2023-12-11T09:47:00.386364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:47:00.475172image/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

업소명업태명영업소 주소(도로명)소재지전화객실수
0춘산여관여관업경상남도 창녕군 남지읍 낙동로 503055- 526-222411
1일광여인숙여인숙업경상남도 창녕군 남지읍 남지시장길 10-3055- 526-22348
2DW모텔여관업경상남도 창녕군 부곡면 온천2길 27055- 536-555540
3(주)레이크힐스호텔휴양콘도미니엄업경상남도 창녕군 부곡면 온천2길 41055- 536-5181105
4모텔퀸(MOTEL QUEEN)여관업경상남도 창녕군 부곡면 온천1길 49055- 536-551138
5주식회사 부곡신라호텔일반호텔경상남도 창녕군 부곡면 온천중앙로 19055- 520-660059
6오리온호텔여관업경상남도 창녕군 부곡면 온천1길 35055- 536-571160
7호텔레인보우일반호텔경상남도 창녕군 부곡면 온천중앙로 33055- 521-577765
8썬크루즈여관업경상남도 창녕군 영산면 연지길 26-14055- 521-279818
9부일온천여관업경상남도 창녕군 부곡면 온천중앙로 62055- 536-542038
업소명업태명영업소 주소(도로명)소재지전화객실수
64동궁무인텔여관업경상남도 창녕군 도천면 치이골길 56-24055 -521 -666914
65U모텔여관업경상남도 창녕군 도천면 치이골길 56-22055 -521 -826014
66하이츠호텔일반호텔경상남도 창녕군 남지읍 남지중앙1길 47-9055 -521 -170046
67에스에스무인호텔여관업경상남도 창녕군 대지면 미산길 3-50055 -532 -233415
68문도트호텔일반호텔경상남도 창녕군 성산면 경남대로 5742-13 (문도트호텔)055 -532 -088919
69제이모텔여관업경상남도 창녕군 대합면 평지퇴산로 432055 -533 -822812
70동정호무인호텔숙박업 기타경상남도 창녕군 창녕읍 계성화왕산로 470055 -521 -661225
71썸무인호텔 A동여관업경상남도 창녕군 대지면 경남대로 5055055 -533 -551913
72썸무인호텔 B동여관업경상남도 창녕군 대합면 경남대로 5039-17055 -533 -551916
73크라운모텔숙박업 기타경상남도 창녕군 창녕읍 우포1대로 1579055- 533 -100530