Overview

Dataset statistics

Number of variables5
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory43.1 B

Variable types

Categorical1
Text4

Dataset

Description충청남도 예산군_세탁업 현황_최신정보(순번, 업종명, 업소명, 업소소재지(도로명), 업소소재지(지번), 소재지전화)
Author충청남도 예산군
URLhttps://www.data.go.kr/data/15055123/fileData.do

Alerts

업종명 has constant value ""Constant
업소명 has unique valuesUnique
영업소 주소(도로명) has unique valuesUnique
영업소 주소(지번) has unique valuesUnique
소재지전화 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:51:10.472401
Analysis finished2023-12-12 17:51:11.098366
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
세탁업
43 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
세탁업 43
100.0%

Length

2023-12-13T02:51:11.195554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:51:11.348106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세탁업 43
100.0%

업소명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-13T02:51:11.617709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.9302326
Min length2

Characters and Unicode

Total characters255
Distinct characters94
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

Unique43 ?
Unique (%)100.0%

Sample

1st row일광
2nd row성심
3rd row현대 컴퓨터
4th row백양
5th row백양 컴퓨터
ValueCountFrequency (%)
세탁소 10
 
15.2%
컴퓨터 8
 
12.1%
백양 3
 
4.5%
세탁 3
 
4.5%
현대 2
 
3.0%
성심 2
 
3.0%
일광 1
 
1.5%
d.c점 1
 
1.5%
런던 1
 
1.5%
뉴명동 1
 
1.5%
Other values (34) 34
51.5%
2023-12-13T02:51:12.118122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
10.2%
세 24
 
9.4%
탁 23
 
9.0%
소 18
 
7.1%
컴 8
 
3.1%
터 8
 
3.1%
퓨 8
 
3.1%
산 5
 
2.0%
백 4
 
1.6%
동 4
 
1.6%
Other values (84) 127
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 221
86.7%
Space Separator 26
 
10.2%
Other Punctuation 2
 
0.8%
Uppercase Letter 2
 
0.8%
Lowercase Letter 2
 
0.8%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
세 24
 
10.9%
탁 23
 
10.4%
소 18
 
8.1%
컴 8
 
3.6%
터 8
 
3.6%
퓨 8
 
3.6%
산 5
 
2.3%
백 4
 
1.8%
동 4
 
1.8%
대 4
 
1.8%
Other values (76) 115
52.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
D 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
d 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 221
86.7%
Common 30
 
11.8%
Latin 4
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
세 24
 
10.9%
탁 23
 
10.4%
소 18
 
8.1%
컴 8
 
3.6%
터 8
 
3.6%
퓨 8
 
3.6%
산 5
 
2.3%
백 4
 
1.8%
동 4
 
1.8%
대 4
 
1.8%
Other values (76) 115
52.0%
Common
ValueCountFrequency (%)
26
86.7%
. 2
 
6.7%
( 1
 
3.3%
) 1
 
3.3%
Latin
ValueCountFrequency (%)
C 1
25.0%
D 1
25.0%
d 1
25.0%
c 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 221
86.7%
ASCII 34
 
13.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
76.5%
. 2
 
5.9%
( 1
 
2.9%
) 1
 
2.9%
C 1
 
2.9%
D 1
 
2.9%
d 1
 
2.9%
c 1
 
2.9%
Hangul
ValueCountFrequency (%)
세 24
 
10.9%
탁 23
 
10.4%
소 18
 
8.1%
컴 8
 
3.6%
터 8
 
3.6%
퓨 8
 
3.6%
산 5
 
2.3%
백 4
 
1.8%
동 4
 
1.8%
대 4
 
1.8%
Other values (76) 115
52.0%

영업소 주소(도로명)
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-13T02:51:12.443543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length25
Mean length21.116279
Min length19

Characters and Unicode

Total characters908
Distinct characters79
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

Unique43 ?
Unique (%)100.0%

Sample

1st row충청남도 예산군 고덕면 고덕중앙로 66-9
2nd row충청남도 예산군 고덕면 황금뜰로 209
3rd row충청남도 예산군 예산읍 신례원로 174
4th row충청남도 예산군 예산읍 예산로 216
5th row충청남도 예산군 예산읍 신례원로 198
ValueCountFrequency (%)
충청남도 43
19.7%
예산군 43
19.7%
예산읍 26
 
11.9%
덕산면 7
 
3.2%
예산로 7
 
3.2%
삽교읍 5
 
2.3%
삽교로 4
 
1.8%
주교로 3
 
1.4%
천변로 3
 
1.4%
고덕면 3
 
1.4%
Other values (66) 74
33.9%
2023-12-13T02:51:12.999998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
19.3%
산 83
 
9.1%
예 78
 
8.6%
충 43
 
4.7%
군 43
 
4.7%
청 43
 
4.7%
도 43
 
4.7%
남 43
 
4.7%
로 41
 
4.5%
1 32
 
3.5%
Other values (69) 284
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 594
65.4%
Space Separator 175
 
19.3%
Decimal Number 126
 
13.9%
Dash Punctuation 10
 
1.1%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 83
14.0%
예 78
13.1%
충 43
 
7.2%
군 43
 
7.2%
청 43
 
7.2%
도 43
 
7.2%
남 43
 
7.2%
로 41
 
6.9%
읍 31
 
5.2%
덕 14
 
2.4%
Other values (54) 132
22.2%
Decimal Number
ValueCountFrequency (%)
1 32
25.4%
2 15
11.9%
5 13
10.3%
6 13
10.3%
4 12
 
9.5%
9 11
 
8.7%
7 9
 
7.1%
3 8
 
6.3%
0 7
 
5.6%
8 6
 
4.8%
Space Separator
ValueCountFrequency (%)
175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 594
65.4%
Common 314
34.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 83
14.0%
예 78
13.1%
충 43
 
7.2%
군 43
 
7.2%
청 43
 
7.2%
도 43
 
7.2%
남 43
 
7.2%
로 41
 
6.9%
읍 31
 
5.2%
덕 14
 
2.4%
Other values (54) 132
22.2%
Common
ValueCountFrequency (%)
175
55.7%
1 32
 
10.2%
2 15
 
4.8%
5 13
 
4.1%
6 13
 
4.1%
4 12
 
3.8%
9 11
 
3.5%
- 10
 
3.2%
7 9
 
2.9%
3 8
 
2.5%
Other values (5) 16
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 594
65.4%
ASCII 314
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
55.7%
1 32
 
10.2%
2 15
 
4.8%
5 13
 
4.1%
6 13
 
4.1%
4 12
 
3.8%
9 11
 
3.5%
- 10
 
3.2%
7 9
 
2.9%
3 8
 
2.5%
Other values (5) 16
 
5.1%
Hangul
ValueCountFrequency (%)
산 83
14.0%
예 78
13.1%
충 43
 
7.2%
군 43
 
7.2%
청 43
 
7.2%
도 43
 
7.2%
남 43
 
7.2%
로 41
 
6.9%
읍 31
 
5.2%
덕 14
 
2.4%
Other values (54) 132
22.2%

영업소 주소(지번)
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-13T02:51:13.345323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length35
Mean length23.883721
Min length20

Characters and Unicode

Total characters1027
Distinct characters64
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

Unique43 ?
Unique (%)100.0%

Sample

1st row충청남도 예산군 고덕면 대천리 770-28
2nd row충청남도 예산군 고덕면 대천리 727-28
3rd row충청남도 예산군 예산읍 신례원리 292-15
4th row충청남도 예산군 예산읍 예산리 514-1
5th row충청남도 예산군 예산읍 신례원리 304-3
ValueCountFrequency (%)
충청남도 43
19.2%
예산군 43
19.2%
예산읍 26
 
11.6%
예산리 11
 
4.9%
덕산면 7
 
3.1%
주교리 6
 
2.7%
삽교읍 5
 
2.2%
신례원리 4
 
1.8%
읍내리 4
 
1.8%
고덕면 3
 
1.3%
Other values (65) 72
32.1%
2023-12-13T02:51:13.890920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
223
21.7%
산 89
 
8.7%
예 80
 
7.8%
충 43
 
4.2%
청 43
 
4.2%
군 43
 
4.2%
리 43
 
4.2%
도 43
 
4.2%
남 43
 
4.2%
- 36
 
3.5%
Other values (54) 341
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 579
56.4%
Space Separator 223
 
21.7%
Decimal Number 184
 
17.9%
Dash Punctuation 36
 
3.5%
Uppercase Letter 3
 
0.3%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 89
15.4%
예 80
13.8%
충 43
7.4%
청 43
7.4%
군 43
7.4%
리 43
7.4%
도 43
7.4%
남 43
7.4%
읍 35
 
6.0%
면 12
 
2.1%
Other values (38) 105
18.1%
Decimal Number
ValueCountFrequency (%)
2 32
17.4%
3 30
16.3%
1 24
13.0%
8 20
10.9%
7 15
8.2%
4 15
8.2%
0 14
7.6%
5 13
7.1%
6 13
7.1%
9 8
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 579
56.4%
Common 445
43.3%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 89
15.4%
예 80
13.8%
충 43
7.4%
청 43
7.4%
군 43
7.4%
리 43
7.4%
도 43
7.4%
남 43
7.4%
읍 35
 
6.0%
면 12
 
2.1%
Other values (38) 105
18.1%
Common
ValueCountFrequency (%)
223
50.1%
- 36
 
8.1%
2 32
 
7.2%
3 30
 
6.7%
1 24
 
5.4%
8 20
 
4.5%
7 15
 
3.4%
4 15
 
3.4%
0 14
 
3.1%
5 13
 
2.9%
Other values (3) 23
 
5.2%
Latin
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 579
56.4%
ASCII 448
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
223
49.8%
- 36
 
8.0%
2 32
 
7.1%
3 30
 
6.7%
1 24
 
5.4%
8 20
 
4.5%
7 15
 
3.3%
4 15
 
3.3%
0 14
 
3.1%
5 13
 
2.9%
Other values (6) 26
 
5.8%
Hangul
ValueCountFrequency (%)
산 89
15.4%
예 80
13.8%
충 43
7.4%
청 43
7.4%
군 43
7.4%
리 43
7.4%
도 43
7.4%
남 43
7.4%
읍 35
 
6.0%
면 12
 
2.1%
Other values (38) 105
18.1%

소재지전화
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-13T02:51:14.178410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.023256
Min length11

Characters and Unicode

Total characters517
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

Unique43 ?
Unique (%)100.0%

Sample

1st row041-337-9305
2nd row041-337-8413
3rd row041-334-3076
4th row041-335-2151
5th row041-334-3423
ValueCountFrequency (%)
041-337-9305 1
 
2.3%
041-338-8989 1
 
2.3%
041-335-5910 1
 
2.3%
041-337-7837 1
 
2.3%
041-331-3443 1
 
2.3%
041-3780-4942 1
 
2.3%
041-333-3463 1
 
2.3%
041-334-2484 1
 
2.3%
041-337-0458 1
 
2.3%
041-334-4141 1
 
2.3%
Other values (33) 33
76.7%
2023-12-13T02:51:14.648046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 110
21.3%
- 86
16.6%
4 72
13.9%
1 61
11.8%
0 59
11.4%
7 30
 
5.8%
6 23
 
4.4%
5 22
 
4.3%
8 19
 
3.7%
2 18
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 431
83.4%
Dash Punctuation 86
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 110
25.5%
4 72
16.7%
1 61
14.2%
0 59
13.7%
7 30
 
7.0%
6 23
 
5.3%
5 22
 
5.1%
8 19
 
4.4%
2 18
 
4.2%
9 17
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 517
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 110
21.3%
- 86
16.6%
4 72
13.9%
1 61
11.8%
0 59
11.4%
7 30
 
5.8%
6 23
 
4.4%
5 22
 
4.3%
8 19
 
3.7%
2 18
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 517
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 110
21.3%
- 86
16.6%
4 72
13.9%
1 61
11.8%
0 59
11.4%
7 30
 
5.8%
6 23
 
4.4%
5 22
 
4.3%
8 19
 
3.7%
2 18
 
3.5%

Correlations

2023-12-13T02:51:14.763194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명영업소 주소(도로명)영업소 주소(지번)소재지전화
업소명1.0001.0001.0001.000
영업소 주소(도로명)1.0001.0001.0001.000
영업소 주소(지번)1.0001.0001.0001.000
소재지전화1.0001.0001.0001.000

Missing values

2023-12-13T02:51:10.886326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:51:11.043453image/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

업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화
0세탁업일광충청남도 예산군 고덕면 고덕중앙로 66-9충청남도 예산군 고덕면 대천리 770-28041-337-9305
1세탁업성심충청남도 예산군 고덕면 황금뜰로 209충청남도 예산군 고덕면 대천리 727-28041-337-8413
2세탁업현대 컴퓨터충청남도 예산군 예산읍 신례원로 174충청남도 예산군 예산읍 신례원리 292-15041-334-3076
3세탁업백양충청남도 예산군 예산읍 예산로 216충청남도 예산군 예산읍 예산리 514-1041-335-2151
4세탁업백양 컴퓨터충청남도 예산군 예산읍 신례원로 198충청남도 예산군 예산읍 신례원리 304-3041-334-3423
5세탁업성심 컴퓨터충청남도 예산군 예산읍 신례원로212번길 16충청남도 예산군 예산읍 신례원리 246041-334-2159
6세탁업유진 컴퓨터충청남도 예산군 예산읍 주교로 57충청남도 예산군 예산읍 주교리 215-7041-333-1040
7세탁업삼공 컴퓨터충청남도 예산군 덕산면 예덕로 15-2충청남도 예산군 덕산면 읍내리 342-2041-337-3698
8세탁업동신충청남도 예산군 예산읍 예산로 114충청남도 예산군 예산읍 예산리 739-5041-335-5669
9세탁업대성충청남도 예산군 예산읍 아리랑로 7-4충청남도 예산군 예산읍 주교리 221-14041-334-5375
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33세탁업세탁나라충청남도 예산군 예산읍 주교로 66충청남도 예산군 예산읍 산성리 340-3041-331-0776
34세탁업하나세탁소충청남도 예산군 예산읍 예산로 210충청남도 예산군 예산읍 예산리 481-6041-332-0776
35세탁업(주)내셔널씨엘충청남도 예산군 덕산면 윤봉길로 368-28충청남도 예산군 덕산면 대치리 211041-334-2237
36세탁업주식회사그린산업충청남도 예산군 덕산면 온천단지3로 45-7충청남도 예산군 덕산면 사동리 364041-330-8024
37세탁업명품세탁전문점충청남도 예산군 예산읍 역전로 125충청남도 예산군 예산읍 산성리 312-4041-335-3615
38세탁업광시세탁소충청남도 예산군 광시면 광시소길 6충청남도 예산군 광시면 광시리 87-1, , 88041-6301-7629
39세탁업하이얀운동화빨래방충청남도 예산군 예산읍 벚꽃로155번길 50충청남도 예산군 예산읍 발연리 253-1 계룡아파트상가 102호041-331-6969
40세탁업현대세탁소충청남도 예산군 삽교읍 삽교로 79충청남도 예산군 삽교읍 두리 803-208041-337-2583
41세탁업예산군장애인보호작업장충청남도 예산군 신암면 추사고택로 496충청남도 예산군 신암면 신택리 174-3041-333-6606
42세탁업럭키세탁소충청남도 예산군 삽교읍 수암천로 11, 상가117동 106호 (이지더원아파트)충청남도 예산군 삽교읍 목리 894-1 이지더원아파트041-338-7364