Overview

Dataset statistics

Number of variables5
Number of observations200
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory40.7 B

Variable types

Categorical3
Text2

Dataset

Description강원특별자치도 소재 관광숙업업에 대한 자료를 제공합니다. - 제공 데이터 : 시군구명, 사업장명, 도로명전체주소, 문화체육업종명, 관광숙박업상세명
URLhttps://www.data.go.kr/data/3045488/fileData.do

Alerts

문화체육업종명 has constant value ""Constant

Reproduction

Analysis started2023-12-12 02:12:28.980379
Analysis finished2023-12-12 02:12:29.521705
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

Distinct17
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
강릉시
38 
속초시
29 
평창군
24 
고성군
16 
동해시
14 
Other values (12)
79 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row춘천시
2nd row춘천시
3rd row춘천시
4th row원주시
5th row원주시

Common Values

ValueCountFrequency (%)
강릉시 38
19.0%
속초시 29
14.5%
평창군 24
12.0%
고성군 16
8.0%
동해시 14
 
7.0%
양양군 14
 
7.0%
홍천군 12
 
6.0%
원주시 10
 
5.0%
춘천시 10
 
5.0%
정선군 10
 
5.0%
Other values (7) 23
11.5%

Length

2023-12-12T11:12:29.618585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강릉시 38
19.0%
속초시 29
14.5%
평창군 24
12.0%
고성군 16
8.0%
동해시 14
 
7.0%
양양군 14
 
7.0%
홍천군 12
 
6.0%
정선군 10
 
5.0%
춘천시 10
 
5.0%
원주시 10
 
5.0%
Other values (7) 23
11.5%

사업장명
Text

Distinct198
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T11:12:29.979937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length18
Mean length9.03
Min length2

Characters and Unicode

Total characters1806
Distinct characters292
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)98.0%

Sample

1st row춘천세종호텔
2nd row춘천베어스관광호텔
3rd row레고랜드호텔
4th row호텔인터불고원주
5th row베니키아문막호텔
ValueCountFrequency (%)
호텔 9
 
2.7%
비발디파크 9
 
2.7%
타워 5
 
1.5%
hotel 5
 
1.5%
소노펠리체빌리지 4
 
1.2%
소노벨 4
 
1.2%
리조트 4
 
1.2%
델피노 4
 
1.2%
호스텔 4
 
1.2%
c 3
 
0.9%
Other values (255) 285
84.8%
2023-12-12T11:12:30.554582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
 
7.6%
호 79
 
4.4%
텔 75
 
4.2%
스 71
 
3.9%
리 67
 
3.7%
트 47
 
2.6%
조 36
 
2.0%
이 35
 
1.9%
도 27
 
1.5%
비 25
 
1.4%
Other values (282) 1206
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1410
78.1%
Space Separator 138
 
7.6%
Uppercase Letter 104
 
5.8%
Lowercase Letter 54
 
3.0%
Decimal Number 37
 
2.0%
Close Punctuation 21
 
1.2%
Open Punctuation 21
 
1.2%
Other Punctuation 10
 
0.6%
Other Symbol 5
 
0.3%
Math Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 79
 
5.6%
텔 75
 
5.3%
스 71
 
5.0%
리 67
 
4.8%
트 47
 
3.3%
조 36
 
2.6%
이 35
 
2.5%
도 27
 
1.9%
비 25
 
1.8%
파 24
 
1.7%
Other values (230) 924
65.5%
Uppercase Letter
ValueCountFrequency (%)
H 15
14.4%
C 13
12.5%
O 11
10.6%
T 9
8.7%
D 8
7.7%
L 7
 
6.7%
E 7
 
6.7%
A 5
 
4.8%
N 5
 
4.8%
G 5
 
4.8%
Other values (10) 19
18.3%
Lowercase Letter
ValueCountFrequency (%)
n 8
14.8%
t 7
13.0%
a 7
13.0%
e 6
11.1%
o 5
9.3%
g 4
7.4%
h 3
 
5.6%
u 3
 
5.6%
r 3
 
5.6%
d 2
 
3.7%
Other values (5) 6
11.1%
Decimal Number
ValueCountFrequency (%)
1 8
21.6%
0 7
18.9%
2 7
18.9%
3 4
10.8%
5 4
10.8%
4 3
 
8.1%
9 3
 
8.1%
7 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 5
50.0%
& 4
40.0%
＆ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1415
78.3%
Common 233
 
12.9%
Latin 158
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 79
 
5.6%
텔 75
 
5.3%
스 71
 
5.0%
리 67
 
4.7%
트 47
 
3.3%
조 36
 
2.5%
이 35
 
2.5%
도 27
 
1.9%
비 25
 
1.8%
파 24
 
1.7%
Other values (231) 929
65.7%
Latin
ValueCountFrequency (%)
H 15
 
9.5%
C 13
 
8.2%
O 11
 
7.0%
T 9
 
5.7%
n 8
 
5.1%
D 8
 
5.1%
t 7
 
4.4%
a 7
 
4.4%
L 7
 
4.4%
E 7
 
4.4%
Other values (25) 66
41.8%
Common
ValueCountFrequency (%)
138
59.2%
) 21
 
9.0%
( 21
 
9.0%
1 8
 
3.4%
0 7
 
3.0%
2 7
 
3.0%
, 5
 
2.1%
& 4
 
1.7%
3 4
 
1.7%
5 4
 
1.7%
Other values (6) 14
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1410
78.1%
ASCII 390
 
21.6%
None 6
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
35.4%
) 21
 
5.4%
( 21
 
5.4%
H 15
 
3.8%
C 13
 
3.3%
O 11
 
2.8%
T 9
 
2.3%
n 8
 
2.1%
1 8
 
2.1%
D 8
 
2.1%
Other values (40) 138
35.4%
Hangul
ValueCountFrequency (%)
호 79
 
5.6%
텔 75
 
5.3%
스 71
 
5.0%
리 67
 
4.8%
트 47
 
3.3%
조 36
 
2.6%
이 35
 
2.5%
도 27
 
1.9%
비 25
 
1.8%
파 24
 
1.7%
Other values (230) 924
65.5%
None
ValueCountFrequency (%)
㈜ 5
83.3%
＆ 1
 
16.7%

도로명전체주소
Text

Distinct169
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T11:12:31.030337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length16
Mean length11.34
Min length5

Characters and Unicode

Total characters2268
Distinct characters176
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

Unique157 ?
Unique (%)78.5%

Sample

1st row봉의산길 31
2nd row스포츠타운길 376
3rd row하중도길 128
4th row동부순환로 200
5th row문막읍 왕건로 9
ValueCountFrequency (%)
대관령면 17
 
3.2%
해안로 16
 
3.0%
동해대로 14
 
2.7%
토성면 11
 
2.1%
서면 10
 
1.9%
올림픽로 10
 
1.9%
262 9
 
1.7%
715 9
 
1.7%
한치골길 9
 
1.7%
주문진읍 9
 
1.7%
Other values (305) 413
78.4%
2023-12-12T11:12:31.661404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
346
 
15.3%
1 137
 
6.0%
로 127
 
5.6%
2 95
 
4.2%
면 92
 
4.1%
길 86
 
3.8%
3 75
 
3.3%
5 62
 
2.7%
9 61
 
2.7%
6 60
 
2.6%
Other values (166) 1127
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1177
51.9%
Decimal Number 682
30.1%
Space Separator 346
 
15.3%
Dash Punctuation 51
 
2.2%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 127
 
10.8%
면 92
 
7.8%
길 86
 
7.3%
대 42
 
3.6%
해 38
 
3.2%
동 35
 
3.0%
읍 26
 
2.2%
령 24
 
2.0%
안 23
 
2.0%
관 18
 
1.5%
Other values (151) 666
56.6%
Decimal Number
ValueCountFrequency (%)
1 137
20.1%
2 95
13.9%
3 75
11.0%
5 62
9.1%
9 61
8.9%
6 60
8.8%
8 54
 
7.9%
4 51
 
7.5%
7 45
 
6.6%
0 42
 
6.2%
Space Separator
ValueCountFrequency (%)
346
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1177
51.9%
Common 1091
48.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 127
 
10.8%
면 92
 
7.8%
길 86
 
7.3%
대 42
 
3.6%
해 38
 
3.2%
동 35
 
3.0%
읍 26
 
2.2%
령 24
 
2.0%
안 23
 
2.0%
관 18
 
1.5%
Other values (151) 666
56.6%
Common
ValueCountFrequency (%)
346
31.7%
1 137
 
12.6%
2 95
 
8.7%
3 75
 
6.9%
5 62
 
5.7%
9 61
 
5.6%
6 60
 
5.5%
8 54
 
4.9%
4 51
 
4.7%
- 51
 
4.7%
Other values (5) 99
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1177
51.9%
ASCII 1091
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
346
31.7%
1 137
 
12.6%
2 95
 
8.7%
3 75
 
6.9%
5 62
 
5.7%
9 61
 
5.6%
6 60
 
5.5%
8 54
 
4.9%
4 51
 
4.7%
- 51
 
4.7%
Other values (5) 99
 
9.1%
Hangul
ValueCountFrequency (%)
로 127
 
10.8%
면 92
 
7.8%
길 86
 
7.3%
대 42
 
3.6%
해 38
 
3.2%
동 35
 
3.0%
읍 26
 
2.2%
령 24
 
2.0%
안 23
 
2.0%
관 18
 
1.5%
Other values (151) 666
56.6%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
관광숙박업
200 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광숙박업 200
100.0%

Length

2023-12-12T11:12:31.814700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:12:31.911948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 200
100.0%

관광숙박업상세명
Categorical

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
휴양콘도미니엄업
74 
호스텔업
57 
관광호텔업
46 
가족호텔업
15 
소형호텔업
 
7

Length

Max length8
Median length7
Mean length5.835
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
휴양콘도미니엄업 74
37.0%
호스텔업 57
28.5%
관광호텔업 46
23.0%
가족호텔업 15
 
7.5%
소형호텔업 7
 
3.5%
한국전통호텔업 1
 
0.5%

Length

2023-12-12T11:12:32.027308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:12:32.158914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴양콘도미니엄업 74
37.0%
호스텔업 57
28.5%
관광호텔업 46
23.0%
가족호텔업 15
 
7.5%
소형호텔업 7
 
3.5%
한국전통호텔업 1
 
0.5%

Correlations

2023-12-12T11:12:32.244129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명관광숙박업상세명
시군구명1.0000.453
관광숙박업상세명0.4531.000
2023-12-12T11:12:32.348476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명관광숙박업상세명
시군구명1.0000.225
관광숙박업상세명0.2251.000
2023-12-12T11:12:32.440970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명관광숙박업상세명
시군구명1.0000.225
관광숙박업상세명0.2251.000

Missing values

2023-12-12T11:12:29.356227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:12:29.464485image/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

시군구명사업장명도로명전체주소문화체육업종명관광숙박업상세명
0춘천시춘천세종호텔봉의산길 31관광숙박업관광호텔업
1춘천시춘천베어스관광호텔스포츠타운길 376관광숙박업관광호텔업
2춘천시레고랜드호텔하중도길 128관광숙박업관광호텔업
3원주시호텔인터불고원주동부순환로 200관광숙박업관광호텔업
4원주시베니키아문막호텔문막읍 왕건로 9관광숙박업관광호텔업
5원주시호텔비즈인만대로 7-1관광숙박업관광호텔업
6원주시㈜오키드호텔봉화로 26관광숙박업관광호텔업
7원주시시티호텔건강로 4관광숙박업관광호텔업
8강릉시경포비치호텔해안로406번길 13-6관광숙박업관광호텔업
9강릉시HONG C HOTEL Gangneung Station옥천로65번길 2-6관광숙박업관광호텔업
시군구명사업장명도로명전체주소문화체육업종명관광숙박업상세명
190고성군설악썬밸리죽왕면 순포로188관광숙박업휴양콘도미니엄업
191고성군금강산콘도현내면 금강산로 416관광숙박업휴양콘도미니엄업
192고성군이랜드파크 켄싱턴리조트 설악밸리 1차토성면 신평골길 8-25관광숙박업휴양콘도미니엄업
193고성군이랜드파크 켄싱턴 리조트 설악밸리토성면 신평골길 8-25관광숙박업휴양콘도미니엄업
194고성군이랜드파크 켄싱턴 리조트 설악비치토성면 동해대로 4800관광숙박업휴양콘도미니엄업
195고성군오션투유죽왕면 삼포해변길 9관광숙박업휴양콘도미니엄업
196고성군아이파크콘도토성면 고성대로 75-16관광숙박업휴양콘도미니엄업
197고성군파인리즈빌라토성면 잼버리동로 267관광숙박업휴양콘도미니엄업
198양양군쏠비치 리조트 양양손양면 선사유적로 678관광숙박업휴양콘도미니엄업
199양양군설해원(설해스테이, 마운틴스테이)손양면 공항로 230관광숙박업휴양콘도미니엄업