Overview

Dataset statistics

Number of variables4
Number of observations186
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory32.7 B

Variable types

Text3
Categorical1

Dataset

Description익산시 관내 읍면동의 숙박업소에 대한 영업소명, 영업소도로명 주소, 영업소 지번 주소 등의 현황 자료를 제공하고 있습니다.
Author전북특별자치도 익산시
URLhttps://www.data.go.kr/data/3076608/fileData.do

Alerts

업소명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 16:31:35.021205
Analysis finished2024-03-14 16:31:36.182082
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-15T01:31:36.965688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length14
Mean length5.1075269
Min length1

Characters and Unicode

Total characters950
Distinct characters245
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)100.0%

Sample

1st row태평여인숙
2nd row한성여관
3rd row정읍여인숙
4th row진봉여인숙
5th row부여여인숙
ValueCountFrequency (%)
모텔 12
 
5.4%
호텔 4
 
1.8%
익산점 2
 
0.9%
무인텔 2
 
0.9%
별밤 2
 
0.9%
뚜벅텔 2
 
0.9%
hotel 2
 
0.9%
g7 2
 
0.9%
뉴 2
 
0.9%
하루모텔 1
 
0.4%
Other values (193) 193
86.2%
2024-03-15T01:31:38.382733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 93
 
9.8%
모 63
 
6.6%
여 50
 
5.3%
39
 
4.1%
인 35
 
3.7%
관 28
 
2.9%
장 25
 
2.6%
숙 22
 
2.3%
호 22
 
2.3%
스 21
 
2.2%
Other values (235) 552
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 829
87.3%
Uppercase Letter 42
 
4.4%
Space Separator 39
 
4.1%
Decimal Number 12
 
1.3%
Lowercase Letter 10
 
1.1%
Open Punctuation 9
 
0.9%
Close Punctuation 9
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 93
 
11.2%
모 63
 
7.6%
여 50
 
6.0%
인 35
 
4.2%
관 28
 
3.4%
장 25
 
3.0%
숙 22
 
2.7%
호 22
 
2.7%
스 21
 
2.5%
리 13
 
1.6%
Other values (199) 457
55.1%
Uppercase Letter
ValueCountFrequency (%)
E 5
11.9%
H 4
 
9.5%
A 4
 
9.5%
T 3
 
7.1%
B 3
 
7.1%
W 3
 
7.1%
L 3
 
7.1%
I 2
 
4.8%
S 2
 
4.8%
N 2
 
4.8%
Other values (10) 11
26.2%
Lowercase Letter
ValueCountFrequency (%)
k 3
30.0%
o 1
 
10.0%
e 1
 
10.0%
t 1
 
10.0%
l 1
 
10.0%
i 1
 
10.0%
r 1
 
10.0%
s 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 4
33.3%
1 3
25.0%
7 3
25.0%
4 1
 
8.3%
3 1
 
8.3%
Space Separator
ValueCountFrequency (%)
39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 829
87.3%
Common 69
 
7.3%
Latin 52
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 93
 
11.2%
모 63
 
7.6%
여 50
 
6.0%
인 35
 
4.2%
관 28
 
3.4%
장 25
 
3.0%
숙 22
 
2.7%
호 22
 
2.7%
스 21
 
2.5%
리 13
 
1.6%
Other values (199) 457
55.1%
Latin
ValueCountFrequency (%)
E 5
 
9.6%
H 4
 
7.7%
A 4
 
7.7%
k 3
 
5.8%
T 3
 
5.8%
B 3
 
5.8%
W 3
 
5.8%
L 3
 
5.8%
I 2
 
3.8%
S 2
 
3.8%
Other values (18) 20
38.5%
Common
ValueCountFrequency (%)
39
56.5%
( 9
 
13.0%
) 9
 
13.0%
2 4
 
5.8%
1 3
 
4.3%
7 3
 
4.3%
4 1
 
1.4%
3 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 829
87.3%
ASCII 121
 
12.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 93
 
11.2%
모 63
 
7.6%
여 50
 
6.0%
인 35
 
4.2%
관 28
 
3.4%
장 25
 
3.0%
숙 22
 
2.7%
호 22
 
2.7%
스 21
 
2.5%
리 13
 
1.6%
Other values (199) 457
55.1%
ASCII
ValueCountFrequency (%)
39
32.2%
( 9
 
7.4%
) 9
 
7.4%
E 5
 
4.1%
H 4
 
3.3%
2 4
 
3.3%
A 4
 
3.3%
1 3
 
2.5%
k 3
 
2.5%
7 3
 
2.5%
Other values (26) 38
31.4%

영업소주소(도로명)
Text

Distinct176
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-15T01:31:39.221533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length27.102151
Min length1

Characters and Unicode

Total characters5041
Distinct characters81
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)92.5%

Sample

1st row전북특별자치도 익산시 익산대로20길 10-2 (창인동1가)
2nd row전북특별자치도 익산시 익산대로 150-8 (중앙동1가)
3rd row
4th row
5th row
ValueCountFrequency (%)
전북특별자치도 178
19.7%
익산시 178
19.7%
인화동1가 53
 
5.9%
창인동1가 27
 
3.0%
인화동2가 23
 
2.5%
익산대로 22
 
2.4%
익산대로2길 16
 
1.8%
인북로4길 15
 
1.7%
목천로1길 14
 
1.6%
평화동 14
 
1.6%
Other values (190) 363
40.2%
2024-03-15T01:31:40.294410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
736
 
14.6%
산 249
 
4.9%
북 231
 
4.6%
익 230
 
4.6%
1 228
 
4.5%
도 181
 
3.6%
특 178
 
3.5%
별 178
 
3.5%
자 178
 
3.5%
치 178
 
3.5%
Other values (71) 2474
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3172
62.9%
Space Separator 736
 
14.6%
Decimal Number 732
 
14.5%
Open Punctuation 166
 
3.3%
Close Punctuation 166
 
3.3%
Dash Punctuation 64
 
1.3%
Other Punctuation 3
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 249
 
7.8%
북 231
 
7.3%
익 230
 
7.3%
도 181
 
5.7%
특 178
 
5.6%
별 178
 
5.6%
자 178
 
5.6%
치 178
 
5.6%
시 178
 
5.6%
동 178
 
5.6%
Other values (55) 1213
38.2%
Decimal Number
ValueCountFrequency (%)
1 228
31.1%
2 144
19.7%
4 73
 
10.0%
6 56
 
7.7%
3 47
 
6.4%
5 44
 
6.0%
0 39
 
5.3%
9 37
 
5.1%
8 34
 
4.6%
7 30
 
4.1%
Space Separator
ValueCountFrequency (%)
736
100.0%
Open Punctuation
ValueCountFrequency (%)
( 166
100.0%
Close Punctuation
ValueCountFrequency (%)
) 166
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3172
62.9%
Common 1869
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 249
 
7.8%
북 231
 
7.3%
익 230
 
7.3%
도 181
 
5.7%
특 178
 
5.6%
별 178
 
5.6%
자 178
 
5.6%
치 178
 
5.6%
시 178
 
5.6%
동 178
 
5.6%
Other values (55) 1213
38.2%
Common
ValueCountFrequency (%)
736
39.4%
1 228
 
12.2%
( 166
 
8.9%
) 166
 
8.9%
2 144
 
7.7%
4 73
 
3.9%
- 64
 
3.4%
6 56
 
3.0%
3 47
 
2.5%
5 44
 
2.4%
Other values (6) 145
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3172
62.9%
ASCII 1869
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
736
39.4%
1 228
 
12.2%
( 166
 
8.9%
) 166
 
8.9%
2 144
 
7.7%
4 73
 
3.9%
- 64
 
3.4%
6 56
 
3.0%
3 47
 
2.5%
5 44
 
2.4%
Other values (6) 145
 
7.8%
Hangul
ValueCountFrequency (%)
산 249
 
7.8%
북 231
 
7.3%
익 230
 
7.3%
도 181
 
5.7%
특 178
 
5.6%
별 178
 
5.6%
자 178
 
5.6%
치 178
 
5.6%
시 178
 
5.6%
동 178
 
5.6%
Other values (55) 1213
38.2%

영업소주소(지번)
Text

Distinct181
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-15T01:31:41.958788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length23.655914
Min length19

Characters and Unicode

Total characters4400
Distinct characters73
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

Unique178 ?
Unique (%)95.7%

Sample

1st row전북특별자치도 익산시 창인동1가 55
2nd row전북특별자치도 익산시 중앙동1가 39-3
3rd row전북특별자치도 익산시 창인동1가 44
4th row전북특별자치도 익산시 창인동1가 44
5th row전북특별자치도 익산시 창인동1가 44
ValueCountFrequency (%)
전북특별자치도 186
24.0%
익산시 186
24.0%
인화동1가 53
 
6.8%
창인동1가 33
 
4.3%
인화동2가 23
 
3.0%
평화동 14
 
1.8%
남중동 10
 
1.3%
중앙동1가 8
 
1.0%
모현동1가 8
 
1.0%
금마면 8
 
1.0%
Other values (216) 247
31.8%
2024-03-15T01:31:43.897431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
776
17.6%
1 273
 
6.2%
도 190
 
4.3%
산 190
 
4.3%
전 186
 
4.2%
특 186
 
4.2%
별 186
 
4.2%
자 186
 
4.2%
치 186
 
4.2%
익 186
 
4.2%
Other values (63) 1855
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2607
59.2%
Decimal Number 849
 
19.3%
Space Separator 776
 
17.6%
Dash Punctuation 159
 
3.6%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 190
 
7.3%
산 190
 
7.3%
전 186
 
7.1%
특 186
 
7.1%
별 186
 
7.1%
자 186
 
7.1%
치 186
 
7.1%
익 186
 
7.1%
시 186
 
7.1%
북 186
 
7.1%
Other values (48) 739
28.3%
Decimal Number
ValueCountFrequency (%)
1 273
32.2%
2 114
13.4%
3 91
 
10.7%
4 76
 
9.0%
7 73
 
8.6%
8 57
 
6.7%
9 51
 
6.0%
5 47
 
5.5%
6 39
 
4.6%
0 28
 
3.3%
Space Separator
ValueCountFrequency (%)
776
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 159
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2607
59.2%
Common 1793
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 190
 
7.3%
산 190
 
7.3%
전 186
 
7.1%
특 186
 
7.1%
별 186
 
7.1%
자 186
 
7.1%
치 186
 
7.1%
익 186
 
7.1%
시 186
 
7.1%
북 186
 
7.1%
Other values (48) 739
28.3%
Common
ValueCountFrequency (%)
776
43.3%
1 273
 
15.2%
- 159
 
8.9%
2 114
 
6.4%
3 91
 
5.1%
4 76
 
4.2%
7 73
 
4.1%
8 57
 
3.2%
9 51
 
2.8%
5 47
 
2.6%
Other values (5) 76
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2607
59.2%
ASCII 1793
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
776
43.3%
1 273
 
15.2%
- 159
 
8.9%
2 114
 
6.4%
3 91
 
5.1%
4 76
 
4.2%
7 73
 
4.1%
8 57
 
3.2%
9 51
 
2.8%
5 47
 
2.6%
Other values (5) 76
 
4.2%
Hangul
ValueCountFrequency (%)
도 190
 
7.3%
산 190
 
7.3%
전 186
 
7.1%
특 186
 
7.1%
별 186
 
7.1%
자 186
 
7.1%
치 186
 
7.1%
익 186
 
7.1%
시 186
 
7.1%
북 186
 
7.1%
Other values (48) 739
28.3%

우편번호(도로명)
Categorical

Distinct25
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
54674
46 
54675
41 
54593
24 
54660
13 
54594
10 
Other values (20)
52 

Length

Max length5
Median length5
Mean length4.8064516
Min length1

Unique

Unique10 ?
Unique (%)5.4%

Sample

1st row54593
2nd row54601
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
54674 46
24.7%
54675 41
22.0%
54593 24
12.9%
54660 13
 
7.0%
54594 10
 
5.4%
9
 
4.8%
54601 7
 
3.8%
54619 5
 
2.7%
54572 5
 
2.7%
54598 4
 
2.2%
Other values (15) 22
11.8%

Length

2024-03-15T01:31:44.150217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
54674 46
26.0%
54675 41
23.2%
54593 24
13.6%
54660 13
 
7.3%
54594 10
 
5.6%
54601 7
 
4.0%
54619 5
 
2.8%
54572 5
 
2.8%
54598 4
 
2.3%
54574 3
 
1.7%
Other values (14) 19
10.7%

Missing values

2024-03-15T01:31:35.793217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:31:36.068076image/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

업소명영업소주소(도로명)영업소주소(지번)우편번호(도로명)
0태평여인숙전북특별자치도 익산시 익산대로20길 10-2 (창인동1가)전북특별자치도 익산시 창인동1가 5554593
1한성여관전북특별자치도 익산시 익산대로 150-8 (중앙동1가)전북특별자치도 익산시 중앙동1가 39-354601
2정읍여인숙전북특별자치도 익산시 창인동1가 44
3진봉여인숙전북특별자치도 익산시 창인동1가 44
4부여여인숙전북특별자치도 익산시 창인동1가 44
5삼성여인숙전북특별자치도 익산시 익산대로 190-8 (창인동1가)전북특별자치도 익산시 창인동1가 44-1754593
6금강장여관전북특별자치도 익산시 중앙로 22-82 (중앙동1가)전북특별자치도 익산시 중앙동1가 45-154601
7천일여인숙전북특별자치도 익산시 익산대로 133 (창인동2가)전북특별자치도 익산시 창인동2가 1-14754662
8유성여인숙전북특별자치도 익산시 익산대로16길 5-23 (창인동1가)전북특별자치도 익산시 창인동1가 21-354593
9순천여인숙전북특별자치도 익산시 익산대로 170 (창인동1가)전북특별자치도 익산시 창인동1가 16-354593
업소명영업소주소(도로명)영업소주소(지번)우편번호(도로명)
176카카오 무인텔전북특별자치도 익산시 삼기면 산단도마4길 66전북특별자치도 익산시 삼기면 오룡리 111054524
177링스모텔전북특별자치도 익산시 익산대로2길 25 (인화동1가)전북특별자치도 익산시 인화동1가 170-354674
178뚜벅텔 (2호점)전북특별자치도 익산시 목천로9길 11 (인화동1가)전북특별자치도 익산시 인화동1가 187-554675
179모텔은 문화다전북특별자치도 익산시 인북로4길 47 1~5층 (인화동2가)전북특별자치도 익산시 인화동2가 96-854675
180미도여관전북특별자치도 익산시 익산대로20길 1-1 (창인동1가)전북특별자치도 익산시 창인동1가 41-254593
181웨스턴라이프호텔(WESTERNLIFE HOTEL)전북특별자치도 익산시 동서로 380 (영등동)전북특별자치도 익산시 영등동 191-154630
182인트로모텔 익산점전북특별자치도 익산시 목천로1길 24-14 인트로모텔 (인화동1가)전북특별자치도 익산시 인화동1가 173-3 인트로모텔54674
183필오피스텔전북특별자치도 익산시 중앙로 22-168 (중앙동2가)전북특별자치도 익산시 중앙동2가 5254601
184필방 오피스텔전북특별자치도 익산시 중앙로 12-185 (중앙동2가)전북특별자치도 익산시 중앙동2가 53-154601
185나무늘보전북특별자치도 익산시 목천로7길 40 (인화동2가)전북특별자치도 익산시 인화동2가 98-254675