Overview

Dataset statistics

Number of variables4
Number of observations131
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory33.0 B

Variable types

Categorical1
Text3

Dataset

Description충청남도 청양군의 공중위생관리업 현황으로 숙박업, 미용업, 이용업, 목욕장업의 업소명, 영업소주소, 소재지전화를 데이터로 제공하고 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=429&beforeMenuCd=DOM_000000201001001000&publicdatapk=15025297

Reproduction

Analysis started2024-01-09 19:44:51.558330
Analysis finished2024-01-09 19:44:51.836406
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct12
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
미용업
44 
이용업
20 
숙박업(일반)
19 
세탁업
15 
미용업(일반)
8 
Other values (7)
25 

Length

Max length31
Median length3
Mean length4.7480916
Min length3

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row숙박업(일반)
2nd row숙박업(일반)
3rd row숙박업(일반)
4th row숙박업(일반)
5th row숙박업(일반)

Common Values

ValueCountFrequency (%)
미용업 44
33.6%
이용업 20
15.3%
숙박업(일반) 19
14.5%
세탁업 15
 
11.5%
미용업(일반) 8
 
6.1%
건물위생관리업 6
 
4.6%
숙박업(생활) 5
 
3.8%
미용업(피부) 4
 
3.1%
미용업(종합) 4
 
3.1%
목욕장업 3
 
2.3%
Other values (2) 3
 
2.3%

Length

2024-01-10T04:44:51.886983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미용업 44
33.1%
이용업 20
15.0%
숙박업(일반 19
14.3%
세탁업 15
 
11.3%
미용업(일반 9
 
6.8%
건물위생관리업 6
 
4.5%
숙박업(생활 5
 
3.8%
미용업(피부 4
 
3.0%
미용업(종합 4
 
3.0%
목욕장업 3
 
2.3%
Other values (2) 4
 
3.0%

업소명
Text

Distinct129
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-10T04:44:52.081227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.389313
Min length2

Characters and Unicode

Total characters706
Distinct characters193
Distinct categories4 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)96.9%

Sample

1st row나우모텔
2nd row크리스탈모텔
3rd row향수
4th row꿈의궁전모텔
5th row백악관파크장
ValueCountFrequency (%)
이용원 8
 
5.0%
헤어 4
 
2.5%
미용실 3
 
1.9%
헤어샵 2
 
1.2%
머리하는날 2
 
1.2%
토브 2
 
1.2%
개성시대 2
 
1.2%
세탁소 2
 
1.2%
희주 1
 
0.6%
쇼미더헤어 1
 
0.6%
Other values (133) 133
83.1%
2024-01-10T04:44:52.395393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 42
 
5.9%
미 36
 
5.1%
29
 
4.1%
이 29
 
4.1%
원 24
 
3.4%
어 23
 
3.3%
헤 22
 
3.1%
실 22
 
3.1%
세 15
 
2.1%
텔 15
 
2.1%
Other values (183) 449
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 672
95.2%
Space Separator 29
 
4.1%
Uppercase Letter 4
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 42
 
6.2%
미 36
 
5.4%
이 29
 
4.3%
원 24
 
3.6%
어 23
 
3.4%
헤 22
 
3.3%
실 22
 
3.3%
세 15
 
2.2%
텔 15
 
2.2%
탁 14
 
2.1%
Other values (178) 430
64.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
M 1
25.0%
P 1
25.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 671
95.0%
Common 30
 
4.2%
Latin 4
 
0.6%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 42
 
6.3%
미 36
 
5.4%
이 29
 
4.3%
원 24
 
3.6%
어 23
 
3.4%
헤 22
 
3.3%
실 22
 
3.3%
세 15
 
2.2%
텔 15
 
2.2%
탁 14
 
2.1%
Other values (177) 429
63.9%
Latin
ValueCountFrequency (%)
A 2
50.0%
M 1
25.0%
P 1
25.0%
Common
ValueCountFrequency (%)
29
96.7%
. 1
 
3.3%
Han
ValueCountFrequency (%)
水 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 671
95.0%
ASCII 34
 
4.8%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 42
 
6.3%
미 36
 
5.4%
이 29
 
4.3%
원 24
 
3.6%
어 23
 
3.4%
헤 22
 
3.3%
실 22
 
3.3%
세 15
 
2.2%
텔 15
 
2.2%
탁 14
 
2.1%
Other values (177) 429
63.9%
ASCII
ValueCountFrequency (%)
29
85.3%
A 2
 
5.9%
. 1
 
2.9%
M 1
 
2.9%
P 1
 
2.9%
CJK
ValueCountFrequency (%)
水 1
100.0%

업소소재지(도로명)
Text

Distinct121
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-10T04:44:52.665297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length22.083969
Min length18

Characters and Unicode

Total characters2893
Distinct characters101
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)87.0%

Sample

1st row충청남도 청양군 청양읍 중앙로9길 7
2nd row충청남도 청양군 청양읍 중앙로11길 9
3rd row충청남도 청양군 정산면 칠갑산로 1806
4th row충청남도 청양군 대치면 칠갑산로 419-2
5th row충청남도 청양군 청양읍 중앙로8길 11
ValueCountFrequency (%)
충청남도 131
19.3%
청양군 131
19.3%
청양읍 89
 
13.1%
중앙로 26
 
3.8%
정산면 19
 
2.8%
칠갑산로 13
 
1.9%
정현길 8
 
1.2%
3 7
 
1.0%
중앙로열길 6
 
0.9%
13 6
 
0.9%
Other values (151) 242
35.7%
2024-01-10T04:44:53.037565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
547
18.9%
청 361
 
12.5%
양 226
 
7.8%
충 137
 
4.7%
남 136
 
4.7%
도 131
 
4.5%
군 131
 
4.5%
1 120
 
4.1%
로 102
 
3.5%
읍 89
 
3.1%
Other values (91) 913
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1875
64.8%
Space Separator 547
 
18.9%
Decimal Number 413
 
14.3%
Dash Punctuation 34
 
1.2%
Other Punctuation 18
 
0.6%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Uppercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 361
19.3%
양 226
12.1%
충 137
 
7.3%
남 136
 
7.3%
도 131
 
7.0%
군 131
 
7.0%
로 102
 
5.4%
읍 89
 
4.7%
길 75
 
4.0%
산 59
 
3.1%
Other values (73) 428
22.8%
Decimal Number
ValueCountFrequency (%)
1 120
29.1%
2 55
13.3%
3 41
 
9.9%
4 35
 
8.5%
0 31
 
7.5%
9 30
 
7.3%
5 30
 
7.3%
7 25
 
6.1%
6 24
 
5.8%
8 22
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 16
88.9%
& 2
 
11.1%
Space Separator
ValueCountFrequency (%)
547
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1875
64.8%
Common 1017
35.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 361
19.3%
양 226
12.1%
충 137
 
7.3%
남 136
 
7.3%
도 131
 
7.0%
군 131
 
7.0%
로 102
 
5.4%
읍 89
 
4.7%
길 75
 
4.0%
산 59
 
3.1%
Other values (73) 428
22.8%
Common
ValueCountFrequency (%)
547
53.8%
1 120
 
11.8%
2 55
 
5.4%
3 41
 
4.0%
4 35
 
3.4%
- 34
 
3.3%
0 31
 
3.0%
9 30
 
2.9%
5 30
 
2.9%
7 25
 
2.5%
Other values (7) 69
 
6.8%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1875
64.8%
ASCII 1018
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
547
53.7%
1 120
 
11.8%
2 55
 
5.4%
3 41
 
4.0%
4 35
 
3.4%
- 34
 
3.3%
0 31
 
3.0%
9 30
 
2.9%
5 30
 
2.9%
7 25
 
2.5%
Other values (8) 70
 
6.9%
Hangul
ValueCountFrequency (%)
청 361
19.3%
양 226
12.1%
충 137
 
7.3%
남 136
 
7.3%
도 131
 
7.0%
군 131
 
7.0%
로 102
 
5.4%
읍 89
 
4.7%
길 75
 
4.0%
산 59
 
3.1%
Other values (73) 428
22.8%

소재지전화
Text

Distinct112
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-10T04:44:53.227514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.40458
Min length1

Characters and Unicode

Total characters1363
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

Unique110 ?
Unique (%)84.0%

Sample

1st row041-944-0933
2nd row041-943-6612
3rd row
4th row041-943-8255
5th row041-943-8881
ValueCountFrequency (%)
041-943-6995 2
 
1.8%
041-943-3448 1
 
0.9%
041-944-0933 1
 
0.9%
041-942-5844 1
 
0.9%
041-942-6852 1
 
0.9%
041-943-6363 1
 
0.9%
041-942-3242 1
 
0.9%
041-943-3173 1
 
0.9%
041-942-2282 1
 
0.9%
041-944-0159 1
 
0.9%
Other values (101) 101
90.2%
2024-01-10T04:44:53.503046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 285
20.9%
- 224
16.4%
0 163
12.0%
1 151
11.1%
9 148
10.9%
3 106
 
7.8%
2 98
 
7.2%
5 44
 
3.2%
8 43
 
3.2%
6 42
 
3.1%
Other values (2) 59
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1120
82.2%
Dash Punctuation 224
 
16.4%
Space Separator 19
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 285
25.4%
0 163
14.6%
1 151
13.5%
9 148
13.2%
3 106
 
9.5%
2 98
 
8.8%
5 44
 
3.9%
8 43
 
3.8%
6 42
 
3.8%
7 40
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 224
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1363
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 285
20.9%
- 224
16.4%
0 163
12.0%
1 151
11.1%
9 148
10.9%
3 106
 
7.8%
2 98
 
7.2%
5 44
 
3.2%
8 43
 
3.2%
6 42
 
3.1%
Other values (2) 59
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1363
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 285
20.9%
- 224
16.4%
0 163
12.0%
1 151
11.1%
9 148
10.9%
3 106
 
7.8%
2 98
 
7.2%
5 44
 
3.2%
8 43
 
3.2%
6 42
 
3.1%
Other values (2) 59
 
4.3%

Missing values

2024-01-10T04:44:51.746465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:44:51.810627image/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

업종명업소명업소소재지(도로명)소재지전화
0숙박업(일반)나우모텔충청남도 청양군 청양읍 중앙로9길 7041-944-0933
1숙박업(일반)크리스탈모텔충청남도 청양군 청양읍 중앙로11길 9041-943-6612
2숙박업(일반)향수충청남도 청양군 정산면 칠갑산로 1806
3숙박업(일반)꿈의궁전모텔충청남도 청양군 대치면 칠갑산로 419-2041-943-8255
4숙박업(일반)백악관파크장충청남도 청양군 청양읍 중앙로8길 11041-943-8881
5숙박업(일반)레전드모텔충청남도 청양군 청양읍 칠갑산로8길 8041-943-9333
6숙박업(일반)에덴모텔충청남도 청양군 청양읍 충절로 1390041-942-7971
7숙박업(일반)샤인파크충청남도 청양군 정산면 충의로 1314041-943-9008
8숙박업(일반)파라다이스 모텔충청남도 청양군 대치면 칠갑산로 424-6041-943-2233
9숙박업(일반)힐링모텔충청남도 청양군 청양읍 중앙로12길 14041-943-2465
업종명업소명업소소재지(도로명)소재지전화
121미용업(종합)프로헤어샵충청남도 청양군 청양읍 칠갑산로6길 3041-943-4512
122미용업(종합)복이미용실충청남도 청양군 청양읍 중앙로5길 20, 나동 108~109호041-942-3636
123숙박업(생활)청양화이트텔충청남도 청양군 청양읍 충절로 1030-17, 2-3층
124숙박업(생활)알프스휴양림충청남도 청양군 남양면 만수로 1202-20
125숙박업(생활)마실펜션충청남도 청양군 대치면 장곡길 143-15041-942-2266
126숙박업(생활)청양고추문화마을충청남도 청양군 청양읍 묵동길 14041-940-2875
127숙박업(생활)칠갑산휴양랜드충청남도 청양군 대치면 까치내로 815041-940-2871
128미용업(손톱ㆍ발톱)특별한날충청남도 청양군 청양읍 중앙로열길 4-1041-944-2288
129미용업(손톱ㆍ발톱)티나네일충청남도 청양군 청양읍 고리섬들길 76041-943-2223
130미용업(일반), 미용업(손톱ㆍ발톱), 미용업(화장ㆍ분장)은헤어충청남도 청양군 청양읍 칠갑산로12길 39