Overview

Dataset statistics

Number of variables9
Number of observations89
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory74.5 B

Variable types

Numeric1
Text4
Categorical4

Dataset

Description충청남도 천안시 관내 착한가격업소에 대한 데이터(업소명, 업종, 읍면동, 소재지주소 등)로 해당 항목을 제공합니다.
URLhttps://www.data.go.kr/data/3071300/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
읍면동 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 읍면동High correlation
연번 has unique valuesUnique
지정번호 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:27:22.729694
Analysis finished2023-12-12 15:27:24.310744
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45
Minimum1
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2023-12-13T00:27:24.414185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.4
Q123
median45
Q367
95-th percentile84.6
Maximum89
Range88
Interquartile range (IQR)44

Descriptive statistics

Standard deviation25.836021
Coefficient of variation (CV)0.57413381
Kurtosis-1.2
Mean45
Median Absolute Deviation (MAD)22
Skewness0
Sum4005
Variance667.5
MonotonicityStrictly increasing
2023-12-13T00:27:24.656375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
68 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (79) 79
88.8%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%

지정번호
Text

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
2023-12-13T00:27:24.985444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters979
Distinct characters13
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

Unique89 ?
Unique (%)100.0%

Sample

1st row천안-2011-005
2nd row천안-2011-010
3rd row천안-2011-016
4th row천안-2012-020
5th row천안-2012-021
ValueCountFrequency (%)
천안-2011-005 1
 
1.1%
천안-2018-137 1
 
1.1%
천안-2020-162 1
 
1.1%
천안-2020-161 1
 
1.1%
천안-2020-160 1
 
1.1%
천안-2020-159 1
 
1.1%
천안-2020-158 1
 
1.1%
천안-2020-157 1
 
1.1%
천안-2019-156 1
 
1.1%
천안-2019-154 1
 
1.1%
Other values (79) 79
88.8%
2023-12-13T00:27:25.491558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 178
18.2%
2 163
16.6%
1 146
14.9%
0 144
14.7%
천 89
9.1%
안 89
9.1%
6 33
 
3.4%
8 28
 
2.9%
3 24
 
2.5%
7 23
 
2.3%
Other values (3) 62
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 623
63.6%
Dash Punctuation 178
 
18.2%
Other Letter 178
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 163
26.2%
1 146
23.4%
0 144
23.1%
6 33
 
5.3%
8 28
 
4.5%
3 24
 
3.9%
7 23
 
3.7%
9 22
 
3.5%
5 20
 
3.2%
4 20
 
3.2%
Other Letter
ValueCountFrequency (%)
천 89
50.0%
안 89
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 801
81.8%
Hangul 178
 
18.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 178
22.2%
2 163
20.3%
1 146
18.2%
0 144
18.0%
6 33
 
4.1%
8 28
 
3.5%
3 24
 
3.0%
7 23
 
2.9%
9 22
 
2.7%
5 20
 
2.5%
Hangul
ValueCountFrequency (%)
천 89
50.0%
안 89
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 801
81.8%
Hangul 178
 
18.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 178
22.2%
2 163
20.3%
1 146
18.2%
0 144
18.0%
6 33
 
4.1%
8 28
 
3.5%
3 24
 
3.0%
7 23
 
2.9%
9 22
 
2.7%
5 20
 
2.5%
Hangul
ValueCountFrequency (%)
천 89
50.0%
안 89
50.0%

업소명
Text

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
2023-12-13T00:27:25.834102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length5.752809
Min length2

Characters and Unicode

Total characters512
Distinct characters203
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)100.0%

Sample

1st row선비숯불갈비
2nd row육청칡냉면화로숯불구이
3rd row아름다움사람들
4th row포인트미용실
5th row스타미용실
ValueCountFrequency (%)
박정미5000냥헤어 2
 
2.2%
선비숯불갈비 1
 
1.1%
사천냥클럽 1
 
1.1%
가원반점 1
 
1.1%
동은헤어 1
 
1.1%
넘버원남성컷트 1
 
1.1%
이화미용실 1
 
1.1%
루미너스헤어 1
 
1.1%
복돼지 1
 
1.1%
국빈4000냥미용실 1
 
1.1%
Other values (81) 81
88.0%
2023-12-13T00:27:26.306534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 20
 
3.9%
헤 19
 
3.7%
0 18
 
3.5%
미 15
 
2.9%
실 10
 
2.0%
용 10
 
2.0%
이 9
 
1.8%
정 8
 
1.6%
비 8
 
1.6%
트 8
 
1.6%
Other values (193) 387
75.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 482
94.1%
Decimal Number 25
 
4.9%
Space Separator 3
 
0.6%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 20
 
4.1%
헤 19
 
3.9%
미 15
 
3.1%
실 10
 
2.1%
용 10
 
2.1%
이 9
 
1.9%
정 8
 
1.7%
비 8
 
1.7%
트 8
 
1.7%
가 7
 
1.5%
Other values (185) 368
76.3%
Decimal Number
ValueCountFrequency (%)
0 18
72.0%
5 4
 
16.0%
4 1
 
4.0%
2 1
 
4.0%
7 1
 
4.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 482
94.1%
Common 30
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 20
 
4.1%
헤 19
 
3.9%
미 15
 
3.1%
실 10
 
2.1%
용 10
 
2.1%
이 9
 
1.9%
정 8
 
1.7%
비 8
 
1.7%
트 8
 
1.7%
가 7
 
1.5%
Other values (185) 368
76.3%
Common
ValueCountFrequency (%)
0 18
60.0%
5 4
 
13.3%
3
 
10.0%
4 1
 
3.3%
2 1
 
3.3%
7 1
 
3.3%
) 1
 
3.3%
( 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 482
94.1%
ASCII 30
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 20
 
4.1%
헤 19
 
3.9%
미 15
 
3.1%
실 10
 
2.1%
용 10
 
2.1%
이 9
 
1.9%
정 8
 
1.7%
비 8
 
1.7%
트 8
 
1.7%
가 7
 
1.5%
Other values (185) 368
76.3%
ASCII
ValueCountFrequency (%)
0 18
60.0%
5 4
 
13.3%
3
 
10.0%
4 1
 
3.3%
2 1
 
3.3%
7 1
 
3.3%
) 1
 
3.3%
( 1
 
3.3%

업종
Categorical

Distinct8
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
한식
39 
이미용업
38 
중식
5 
세탁업
 
2
기타요식업
 
2
Other values (3)
 
3

Length

Max length6
Median length2
Mean length3
Min length2

Unique

Unique3 ?
Unique (%)3.4%

Sample

1st row한식
2nd row한식
3rd row이미용업
4th row이미용업
5th row이미용업

Common Values

ValueCountFrequency (%)
한식 39
43.8%
이미용업 38
42.7%
중식 5
 
5.6%
세탁업 2
 
2.2%
기타요식업 2
 
2.2%
양식 1
 
1.1%
숙박업 1
 
1.1%
기타비요식업 1
 
1.1%

Length

2023-12-13T00:27:26.505543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:27:26.700900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 39
43.8%
이미용업 38
42.7%
중식 5
 
5.6%
세탁업 2
 
2.2%
기타요식업 2
 
2.2%
양식 1
 
1.1%
숙박업 1
 
1.1%
기타비요식업 1
 
1.1%

대표자
Text

Distinct88
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size844.0 B
2023-12-13T00:27:27.060370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters267
Distinct characters87
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)97.8%

Sample

1st row홍대의
2nd row김현명
3rd row홍성복
4th row원용백
5th row신필자
ValueCountFrequency (%)
김성숙 2
 
2.2%
홍대의 1
 
1.1%
정미현 1
 
1.1%
이미란 1
 
1.1%
이동숙 1
 
1.1%
김연주 1
 
1.1%
박정화 1
 
1.1%
이화월 1
 
1.1%
양인석 1
 
1.1%
김화순 1
 
1.1%
Other values (78) 78
87.6%
2023-12-13T00:27:27.507016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 19
 
7.1%
김 18
 
6.7%
정 11
 
4.1%
영 11
 
4.1%
숙 9
 
3.4%
순 9
 
3.4%
희 8
 
3.0%
화 7
 
2.6%
상 6
 
2.2%
현 6
 
2.2%
Other values (77) 163
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 19
 
7.1%
김 18
 
6.7%
정 11
 
4.1%
영 11
 
4.1%
숙 9
 
3.4%
순 9
 
3.4%
희 8
 
3.0%
화 7
 
2.6%
상 6
 
2.2%
현 6
 
2.2%
Other values (77) 163
61.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 19
 
7.1%
김 18
 
6.7%
정 11
 
4.1%
영 11
 
4.1%
숙 9
 
3.4%
순 9
 
3.4%
희 8
 
3.0%
화 7
 
2.6%
상 6
 
2.2%
현 6
 
2.2%
Other values (77) 163
61.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 19
 
7.1%
김 18
 
6.7%
정 11
 
4.1%
영 11
 
4.1%
숙 9
 
3.4%
순 9
 
3.4%
희 8
 
3.0%
화 7
 
2.6%
상 6
 
2.2%
현 6
 
2.2%
Other values (77) 163
61.0%

읍면동
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
쌍용동
17 
성정동
8 
사직동
7 
대흥동
5 
원성동
5 
Other values (20)
47 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique6 ?
Unique (%)6.7%

Sample

1st row신부동
2nd row구룡동
3rd row성정동
4th row대흥동
5th row대흥동

Common Values

ValueCountFrequency (%)
쌍용동 17
19.1%
성정동 8
 
9.0%
사직동 7
 
7.9%
대흥동 5
 
5.6%
원성동 5
 
5.6%
봉명동 5
 
5.6%
신부동 4
 
4.5%
두정동 4
 
4.5%
구성동 4
 
4.5%
신방동 4
 
4.5%
Other values (15) 26
29.2%

Length

2023-12-13T00:27:27.649761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
쌍용동 17
19.1%
성정동 8
 
9.0%
사직동 7
 
7.9%
대흥동 5
 
5.6%
원성동 5
 
5.6%
봉명동 5
 
5.6%
신부동 4
 
4.5%
두정동 4
 
4.5%
구성동 4
 
4.5%
신방동 4
 
4.5%
Other values (15) 26
29.2%

행정동
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Memory size844.0 B
중앙동
16 
쌍용2동
10 
신안동
7 
쌍용1동
7 
청룡동
6 
Other values (16)
43 

Length

Max length4
Median length3
Mean length3.4494382
Min length3

Unique

Unique4 ?
Unique (%)4.5%

Sample

1st row신안동
2nd row청룡동
3rd row성정1동
4th row중앙동
5th row중앙동

Common Values

ValueCountFrequency (%)
중앙동 16
18.0%
쌍용2동 10
11.2%
신안동 7
 
7.9%
쌍용1동 7
 
7.9%
청룡동 6
 
6.7%
부성1동 6
 
6.7%
성정1동 5
 
5.6%
봉명동 5
 
5.6%
원성2동 4
 
4.5%
신방동 4
 
4.5%
Other values (11) 19
21.3%

Length

2023-12-13T00:27:27.797171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중앙동 16
18.0%
쌍용2동 10
11.2%
신안동 7
 
7.9%
쌍용1동 7
 
7.9%
청룡동 6
 
6.7%
부성1동 6
 
6.7%
성정1동 5
 
5.6%
봉명동 5
 
5.6%
원성2동 4
 
4.5%
신방동 4
 
4.5%
Other values (11) 19
21.3%

소재지주소
Text

Distinct87
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size844.0 B
2023-12-13T00:27:28.090547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length21.617978
Min length15

Characters and Unicode

Total characters1924
Distinct characters104
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

Unique86 ?
Unique (%)96.6%

Sample

1st row천안시 동남구 터미널3길 21(신부동)
2nd row천안시 동남구 풍세로 678-12(구룡동)
3rd row천안시 서북구 봉정로 130(성정동)
4th row천안시 동남구 공설시장2길 3, 3층(대흥동)
5th row천안시 동남구 대흥로 271(대흥동)
ValueCountFrequency (%)
천안시 89
23.1%
동남구 47
 
12.2%
서북구 42
 
10.9%
충절로 4
 
1.0%
대흥로 4
 
1.0%
10(신당동 3
 
0.8%
두정로 3
 
0.8%
대흥동 3
 
0.8%
쌍용16길 3
 
0.8%
사직로 3
 
0.8%
Other values (168) 184
47.8%
2023-12-13T00:27:28.567261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
296
 
15.4%
동 129
 
6.7%
천 97
 
5.0%
구 97
 
5.0%
시 94
 
4.9%
안 93
 
4.8%
1 87
 
4.5%
( 82
 
4.3%
) 82
 
4.3%
길 55
 
2.9%
Other values (94) 812
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1119
58.2%
Decimal Number 310
 
16.1%
Space Separator 296
 
15.4%
Open Punctuation 82
 
4.3%
Close Punctuation 82
 
4.3%
Dash Punctuation 19
 
1.0%
Other Punctuation 16
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 129
 
11.5%
천 97
 
8.7%
구 97
 
8.7%
시 94
 
8.4%
안 93
 
8.3%
길 55
 
4.9%
서 50
 
4.5%
남 47
 
4.2%
북 42
 
3.8%
성 34
 
3.0%
Other values (79) 381
34.0%
Decimal Number
ValueCountFrequency (%)
1 87
28.1%
2 52
16.8%
3 37
11.9%
6 24
 
7.7%
0 22
 
7.1%
4 22
 
7.1%
7 20
 
6.5%
5 19
 
6.1%
8 17
 
5.5%
9 10
 
3.2%
Space Separator
ValueCountFrequency (%)
296
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1119
58.2%
Common 805
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 129
 
11.5%
천 97
 
8.7%
구 97
 
8.7%
시 94
 
8.4%
안 93
 
8.3%
길 55
 
4.9%
서 50
 
4.5%
남 47
 
4.2%
북 42
 
3.8%
성 34
 
3.0%
Other values (79) 381
34.0%
Common
ValueCountFrequency (%)
296
36.8%
1 87
 
10.8%
( 82
 
10.2%
) 82
 
10.2%
2 52
 
6.5%
3 37
 
4.6%
6 24
 
3.0%
0 22
 
2.7%
4 22
 
2.7%
7 20
 
2.5%
Other values (5) 81
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1119
58.2%
ASCII 805
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
296
36.8%
1 87
 
10.8%
( 82
 
10.2%
) 82
 
10.2%
2 52
 
6.5%
3 37
 
4.6%
6 24
 
3.0%
0 22
 
2.7%
4 22
 
2.7%
7 20
 
2.5%
Other values (5) 81
 
10.1%
Hangul
ValueCountFrequency (%)
동 129
 
11.5%
천 97
 
8.7%
구 97
 
8.7%
시 94
 
8.4%
안 93
 
8.3%
길 55
 
4.9%
서 50
 
4.5%
남 47
 
4.2%
북 42
 
3.8%
성 34
 
3.0%
Other values (79) 381
34.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
2023-08-21
89 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-21
2nd row2023-08-21
3rd row2023-08-21
4th row2023-08-21
5th row2023-08-21

Common Values

ValueCountFrequency (%)
2023-08-21 89
100.0%

Length

2023-12-13T00:27:28.736288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:27:28.846447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-21 89
100.0%

Interactions

2023-12-13T00:27:23.927832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:27:28.931923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정번호업소명업종대표자읍면동행정동소재지주소
연번1.0001.0001.0000.2300.9400.5590.5180.873
지정번호1.0001.0001.0001.0001.0001.0001.0001.000
업소명1.0001.0001.0001.0001.0001.0001.0001.000
업종0.2301.0001.0001.0000.9960.0000.0000.000
대표자0.9401.0001.0000.9961.0000.9940.9540.996
읍면동0.5591.0001.0000.0000.9941.0000.9891.000
행정동0.5181.0001.0000.0000.9540.9891.0001.000
소재지주소0.8731.0001.0000.0000.9961.0001.0001.000
2023-12-13T00:27:29.054015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동업종읍면동
행정동1.0000.0000.845
업종0.0001.0000.000
읍면동0.8450.0001.000
2023-12-13T00:27:29.155607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종읍면동행정동
연번1.0000.1140.1980.208
업종0.1141.0000.0000.000
읍면동0.1980.0001.0000.845
행정동0.2080.0000.8451.000

Missing values

2023-12-13T00:27:24.063377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:27:24.230447image/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

연번지정번호업소명업종대표자읍면동행정동소재지주소데이터기준일자
01천안-2011-005선비숯불갈비한식홍대의신부동신안동천안시 동남구 터미널3길 21(신부동)2023-08-21
12천안-2011-010육청칡냉면화로숯불구이한식김현명구룡동청룡동천안시 동남구 풍세로 678-12(구룡동)2023-08-21
23천안-2011-016아름다움사람들이미용업홍성복성정동성정1동천안시 서북구 봉정로 130(성정동)2023-08-21
34천안-2012-020포인트미용실이미용업원용백대흥동중앙동천안시 동남구 공설시장2길 3, 3층(대흥동)2023-08-21
45천안-2012-021스타미용실이미용업신필자대흥동중앙동천안시 동남구 대흥로 271(대흥동)2023-08-21
56천안-2012-025챠밍헤어클럽미용실이미용업이일례원성동원성2동천안시 동남구 고재4길 55(원성동)2023-08-21
67천안-2012-029선경세탁소세탁업홍성찬봉명동봉명동천안시 동남구 양지4길 15(봉명동)2023-08-21
78천안-2012-031백미용실이미용업백봉애봉명동봉명동천안시 동남구 우영1길 10, 106호(봉명동)2023-08-21
89천안-2012-0327000냥프로헤어이미용업김영화영성동중앙동천안시 동남구 충무로 412-27, 2층(영성동)2023-08-21
910천안-2012-034늑대골한식남민자구룡동청룡동천안시 동남구 풍세로696(구룡동)2023-08-21
연번지정번호업소명업종대표자읍면동행정동소재지주소데이터기준일자
7980천안-2022-179가마솥 선지국밥한식최은식사직동중앙동천안시 동남구 사직로 2-2, 1층(사직동)2023-08-21
8081천안-2022-180낙지도사한식이승호봉명동봉명동천안시 동남구 백석로 184(봉명동)2023-08-21
8182천안-2022-181공감정육식당한식김미영구성동청룡동천안시 동남구 구성1길 10(구성동)2023-08-21
8283천안-2023-182쌍용동사진관기타비요식업이남정쌍용동쌍용1동천안시 서북구 미라3길 27(쌍용동)2023-08-21
8384천안-2023-183비비헤어샵이미용업배연희쌍용동쌍용1동천안시 서북구 미라2길 26-1(쌍용동)2023-08-21
8485천안-2023-184타코찡기타요식업지수경봉명동봉명동천안시 동남구 개목4길 9, 101호(봉명동)2023-08-21
8586천안-2023-185주공반점중식이상훈성정동성정1동천안시 서북구 성정13길 18(성정동)2023-08-21
8687천안-2023-186과수원길한식정현숙성성동부성2동천안시 서북구 업성1길 7(성성동)2023-08-21
8788천안-2023-187우리집한식뷔페한식설재상입장면입장면천안시 서북구 입장면 연곡길 1662023-08-21
8889천안-2023-188윤경이네분식한식김광혁원성동원성2동천안시 동남구 버들1길 29(원성동)2023-08-21