Overview

Dataset statistics

Number of variables4
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory34.8 B

Variable types

Text4

Dataset

Description우수숙박시설굿스테이현황20146
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201483

Alerts

연번 has unique valuesUnique
시 설 명 has unique valuesUnique
소 재 지 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:30:58.368125
Analysis finished2024-03-14 00:30:58.682901
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-14T09:30:58.812508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length1.8541667
Min length1

Characters and Unicode

Total characters89
Distinct characters12
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

Unique48 ?
Unique (%)100.0%

Sample

1st row계
2nd row1
3rd row2
4th row3
5th row4
ValueCountFrequency (%)
계 1
 
2.1%
1 1
 
2.1%
49 1
 
2.1%
26 1
 
2.1%
27 1
 
2.1%
28 1
 
2.1%
29-43 1
 
2.1%
44 1
 
2.1%
45 1
 
2.1%
46 1
 
2.1%
Other values (38) 38
79.2%
2024-03-14T09:30:59.100290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 15
16.9%
5 15
16.9%
2 14
15.7%
4 12
13.5%
6 7
7.9%
3 5
 
5.6%
7 5
 
5.6%
8 5
 
5.6%
9 5
 
5.6%
0 4
 
4.5%
Other values (2) 2
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 87
97.8%
Other Letter 1
 
1.1%
Dash Punctuation 1
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 15
17.2%
5 15
17.2%
2 14
16.1%
4 12
13.8%
6 7
8.0%
3 5
 
5.7%
7 5
 
5.7%
8 5
 
5.7%
9 5
 
5.7%
0 4
 
4.6%
Other Letter
ValueCountFrequency (%)
계 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 88
98.9%
Hangul 1
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 15
17.0%
5 15
17.0%
2 14
15.9%
4 12
13.6%
6 7
8.0%
3 5
 
5.7%
7 5
 
5.7%
8 5
 
5.7%
9 5
 
5.7%
0 4
 
4.5%
Hangul
ValueCountFrequency (%)
계 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88
98.9%
Hangul 1
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 15
17.0%
5 15
17.0%
2 14
15.9%
4 12
13.6%
6 7
8.0%
3 5
 
5.7%
7 5
 
5.7%
8 5
 
5.7%
9 5
 
5.7%
0 4
 
4.5%
Hangul
ValueCountFrequency (%)
계 1
100.0%

시 설 명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-14T09:30:59.309393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length5.4583333
Min length3

Characters and Unicode

Total characters262
Distinct characters110
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row61개소
2nd row웨스턴호텔
3rd row휴모텔
4th row세르빌호텔
5th row산정호텔
ValueCountFrequency (%)
61개소 1
 
2.0%
그린토피아 1
 
2.0%
한일파크 1
 
2.0%
무주스키텔 1
 
2.0%
남원호텔 1
 
2.0%
장수온천호텔 1
 
2.0%
영빈호텔 1
 
2.0%
석정힐링카운티 1
 
2.0%
윈호텔 1
 
2.0%
우신호텔 1
 
2.0%
Other values (41) 41
80.4%
2024-03-14T09:30:59.614886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 31
 
11.8%
호 16
 
6.1%
모 13
 
5.0%
산 8
 
3.1%
리 8
 
3.1%
펜 6
 
2.3%
션 6
 
2.3%
스 6
 
2.3%
주 5
 
1.9%
원 5
 
1.9%
Other values (100) 158
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 253
96.6%
Space Separator 3
 
1.1%
Decimal Number 2
 
0.8%
Uppercase Letter 2
 
0.8%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 31
 
12.3%
호 16
 
6.3%
모 13
 
5.1%
산 8
 
3.2%
리 8
 
3.2%
펜 6
 
2.4%
션 6
 
2.4%
스 6
 
2.4%
주 5
 
2.0%
원 5
 
2.0%
Other values (93) 149
58.9%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
1 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 253
96.6%
Common 7
 
2.7%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 31
 
12.3%
호 16
 
6.3%
모 13
 
5.1%
산 8
 
3.2%
리 8
 
3.2%
펜 6
 
2.4%
션 6
 
2.4%
스 6
 
2.4%
주 5
 
2.0%
원 5
 
2.0%
Other values (93) 149
58.9%
Common
ValueCountFrequency (%)
3
42.9%
6 1
 
14.3%
) 1
 
14.3%
( 1
 
14.3%
1 1
 
14.3%
Latin
ValueCountFrequency (%)
H 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 253
96.6%
ASCII 9
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 31
 
12.3%
호 16
 
6.3%
모 13
 
5.1%
산 8
 
3.2%
리 8
 
3.2%
펜 6
 
2.4%
션 6
 
2.4%
스 6
 
2.4%
주 5
 
2.0%
원 5
 
2.0%
Other values (93) 149
58.9%
ASCII
ValueCountFrequency (%)
3
33.3%
6 1
 
11.1%
H 1
 
11.1%
S 1
 
11.1%
) 1
 
11.1%
( 1
 
11.1%
1 1
 
11.1%

소 재 지
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-14T09:30:59.863474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length15.645833
Min length1

Characters and Unicode

Total characters751
Distinct characters97
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row-
2nd row군산시 옥서면 선연길 17
3rd row군산시 가도안1길 61
4th row정읍시 내장산로 937
5th row정읍시 태인면 정읍북로 1291-20
ValueCountFrequency (%)
무주군 12
 
6.6%
전주시 8
 
4.4%
덕진구 6
 
3.3%
설천면 6
 
3.3%
남원시 5
 
2.8%
군산시 5
 
2.8%
무풍면 4
 
2.2%
부안군 4
 
2.2%
구천동1로 3
 
1.7%
구천동로 3
 
1.7%
Other values (107) 125
69.1%
2024-03-14T09:31:00.332549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
 
17.7%
1 41
 
5.5%
2 33
 
4.4%
군 30
 
4.0%
로 28
 
3.7%
주 27
 
3.6%
- 23
 
3.1%
시 22
 
2.9%
면 22
 
2.9%
산 21
 
2.8%
Other values (87) 371
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 427
56.9%
Decimal Number 168
 
22.4%
Space Separator 133
 
17.7%
Dash Punctuation 23
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 30
 
7.0%
로 28
 
6.6%
주 27
 
6.3%
시 22
 
5.2%
면 22
 
5.2%
산 21
 
4.9%
길 18
 
4.2%
천 18
 
4.2%
무 18
 
4.2%
구 16
 
3.7%
Other values (75) 207
48.5%
Decimal Number
ValueCountFrequency (%)
1 41
24.4%
2 33
19.6%
3 18
10.7%
6 16
 
9.5%
9 14
 
8.3%
4 13
 
7.7%
5 10
 
6.0%
7 10
 
6.0%
0 8
 
4.8%
8 5
 
3.0%
Space Separator
ValueCountFrequency (%)
133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 427
56.9%
Common 324
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 30
 
7.0%
로 28
 
6.6%
주 27
 
6.3%
시 22
 
5.2%
면 22
 
5.2%
산 21
 
4.9%
길 18
 
4.2%
천 18
 
4.2%
무 18
 
4.2%
구 16
 
3.7%
Other values (75) 207
48.5%
Common
ValueCountFrequency (%)
133
41.0%
1 41
 
12.7%
2 33
 
10.2%
- 23
 
7.1%
3 18
 
5.6%
6 16
 
4.9%
9 14
 
4.3%
4 13
 
4.0%
5 10
 
3.1%
7 10
 
3.1%
Other values (2) 13
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 427
56.9%
ASCII 324
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
41.0%
1 41
 
12.7%
2 33
 
10.2%
- 23
 
7.1%
3 18
 
5.6%
6 16
 
4.9%
9 14
 
4.3%
4 13
 
4.0%
5 10
 
3.1%
7 10
 
3.1%
Other values (2) 13
 
4.0%
Hangul
ValueCountFrequency (%)
군 30
 
7.0%
로 28
 
6.6%
주 27
 
6.3%
시 22
 
5.2%
면 22
 
5.2%
산 21
 
4.9%
길 18
 
4.2%
천 18
 
4.2%
무 18
 
4.2%
구 16
 
3.7%
Other values (75) 207
48.5%

객실수
Text

Distinct32
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-14T09:31:00.506106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.0416667
Min length1

Characters and Unicode

Total characters98
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

Unique22 ?
Unique (%)45.8%

Sample

1st row1,540
2nd row33
3rd row40
4th row40
5th row37
ValueCountFrequency (%)
32 4
 
8.3%
30 4
 
8.3%
33 3
 
6.2%
28 3
 
6.2%
31 2
 
4.2%
40 2
 
4.2%
36 2
 
4.2%
34 2
 
4.2%
50 2
 
4.2%
25 2
 
4.2%
Other values (22) 22
45.8%
2024-03-14T09:31:00.799466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 25
25.5%
2 18
18.4%
0 10
 
10.2%
1 10
 
10.2%
4 10
 
10.2%
5 8
 
8.2%
8 6
 
6.1%
6 6
 
6.1%
7 2
 
2.0%
9 2
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 97
99.0%
Other Punctuation 1
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 25
25.8%
2 18
18.6%
0 10
 
10.3%
1 10
 
10.3%
4 10
 
10.3%
5 8
 
8.2%
8 6
 
6.2%
6 6
 
6.2%
7 2
 
2.1%
9 2
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 98
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 25
25.5%
2 18
18.4%
0 10
 
10.2%
1 10
 
10.2%
4 10
 
10.2%
5 8
 
8.2%
8 6
 
6.1%
6 6
 
6.1%
7 2
 
2.0%
9 2
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 98
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 25
25.5%
2 18
18.4%
0 10
 
10.2%
1 10
 
10.2%
4 10
 
10.2%
5 8
 
8.2%
8 6
 
6.1%
6 6
 
6.1%
7 2
 
2.0%
9 2
 
2.0%

Correlations

2024-03-14T09:31:00.875944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시 설 명소 재 지객실수
연번1.0001.0001.0001.000
시 설 명1.0001.0001.0001.000
소 재 지1.0001.0001.0001.000
객실수1.0001.0001.0001.000

Missing values

2024-03-14T09:30:58.578179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:30:58.656923image/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

연번시 설 명소 재 지객실수
0계61개소-1,540
11웨스턴호텔군산시 옥서면 선연길 1733
22휴모텔군산시 가도안1길 6140
33세르빌호텔정읍시 내장산로 93740
44산정호텔정읍시 태인면 정읍북로 1291-2037
55그린피아모텔남원시 주천면 제바위길 3633
66지리산칸호텔(구 지리산파크텔)남원시 산내면 지리산로 81564
77운호관광농원부안군 진서면 청자로 44929
88모악산모텔완주군 구이면 모악산길 104-1024
99호텔 홍삼빌진안군 진안읍 외사양길 16-1026
연번시 설 명소 재 지객실수
3852왕궁온천장익산시 왕궁면 온천길 3831
3953전주호텔전주시 덕진구 산정2길 3135
4054마이산모텔진안군 진안읍 마이산로 26334
4155덕화리버사이드모텔무주군 무주읍 당산강변로 14634
4256H힐스리조트무주군 무풍면 구천동로 266-752
4357펜션설화무주군 무풍면 구천동로 32313
4458로베펜션무주군 무풍면 라제통문로 45510
4559무주덕유산레저바이크텔무주군 설천면 구천동1로 1296
4660설국펜션무주군 설천면 원삼공2길 9-715
4761타코마장수관광농원장수군 계남면 장수로 2662-1150