Overview

Dataset statistics

Number of variables26
Number of observations194
Missing cells388
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.9 KiB
Average record size in memory215.7 B

Variable types

Text5
Categorical17
Numeric2
Unsupported2

Dataset

Description경로우대지정업소(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=JQ6NBD54YIWSI86C9E3A28971661&infSeq=1

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
시군구코드 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
할인금액 is highly imbalanced (50.3%)Imbalance
할인부가정보 has 194 (100.0%) missing valuesMissing
경로우대업소해제일자 has 194 (100.0%) missing valuesMissing
업소명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
할인부가정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
경로우대업소해제일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-10 21:05:02.290859
Analysis finished2024-05-10 21:05:03.329070
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-10T21:05:03.824187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17.5
Mean length6.257732
Min length2

Characters and Unicode

Total characters1214
Distinct characters301
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)100.0%

Sample

1st row다본안경매탄점
2nd row김정숙헤어샵
3rd row레드헤어
4th row하나로안경원
5th row컷트클럽
ValueCountFrequency (%)
수원인계점 2
 
0.9%
수원역점 2
 
0.9%
다비치안경 1
 
0.5%
뉴쵸이스헤어 1
 
0.5%
아이하우스안경원 1
 
0.5%
화서역점 1
 
0.5%
윤미용실 1
 
0.5%
난영미용실 1
 
0.5%
석산민물매운탕 1
 
0.5%
김경자소문난대구왕뽈찜 1
 
0.5%
Other values (205) 205
94.5%
2024-05-10T21:05:04.956361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 60
 
4.9%
헤 58
 
4.8%
미 42
 
3.5%
용 42
 
3.5%
경 36
 
3.0%
실 35
 
2.9%
원 33
 
2.7%
안 31
 
2.6%
이 27
 
2.2%
23
 
1.9%
Other values (291) 827
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1118
92.1%
Lowercase Letter 24
 
2.0%
Space Separator 23
 
1.9%
Decimal Number 17
 
1.4%
Uppercase Letter 15
 
1.2%
Close Punctuation 6
 
0.5%
Open Punctuation 6
 
0.5%
Other Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 60
 
5.4%
헤 58
 
5.2%
미 42
 
3.8%
용 42
 
3.8%
경 36
 
3.2%
실 35
 
3.1%
원 33
 
3.0%
안 31
 
2.8%
이 27
 
2.4%
수 20
 
1.8%
Other values (255) 734
65.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
16.7%
t 3
12.5%
s 3
12.5%
o 2
8.3%
a 2
8.3%
u 2
8.3%
c 1
 
4.2%
r 1
 
4.2%
n 1
 
4.2%
m 1
 
4.2%
Other values (4) 4
16.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
20.0%
S 2
13.3%
B 2
13.3%
M 2
13.3%
R 1
 
6.7%
D 1
 
6.7%
K 1
 
6.7%
L 1
 
6.7%
O 1
 
6.7%
J 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
0 5
29.4%
1 4
23.5%
2 3
17.6%
8 2
 
11.8%
4 2
 
11.8%
3 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
; 1
 
20.0%
& 1
 
20.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1118
92.1%
Common 57
 
4.7%
Latin 39
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 60
 
5.4%
헤 58
 
5.2%
미 42
 
3.8%
용 42
 
3.8%
경 36
 
3.2%
실 35
 
3.1%
원 33
 
3.0%
안 31
 
2.8%
이 27
 
2.4%
수 20
 
1.8%
Other values (255) 734
65.7%
Latin
ValueCountFrequency (%)
e 4
 
10.3%
A 3
 
7.7%
t 3
 
7.7%
s 3
 
7.7%
S 2
 
5.1%
o 2
 
5.1%
B 2
 
5.1%
a 2
 
5.1%
u 2
 
5.1%
M 2
 
5.1%
Other values (14) 14
35.9%
Common
ValueCountFrequency (%)
23
40.4%
) 6
 
10.5%
( 6
 
10.5%
0 5
 
8.8%
1 4
 
7.0%
. 3
 
5.3%
2 3
 
5.3%
8 2
 
3.5%
4 2
 
3.5%
3 1
 
1.8%
Other values (2) 2
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1118
92.1%
ASCII 96
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 60
 
5.4%
헤 58
 
5.2%
미 42
 
3.8%
용 42
 
3.8%
경 36
 
3.2%
실 35
 
3.1%
원 33
 
3.0%
안 31
 
2.8%
이 27
 
2.4%
수 20
 
1.8%
Other values (255) 734
65.7%
ASCII
ValueCountFrequency (%)
23
24.0%
) 6
 
6.2%
( 6
 
6.2%
0 5
 
5.2%
e 4
 
4.2%
1 4
 
4.2%
A 3
 
3.1%
. 3
 
3.1%
2 3
 
3.1%
t 3
 
3.1%
Other values (26) 36
37.5%

업종명코드
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
7
124 
99
31 
2
29 
8
 
10

Length

Max length2
Median length1
Mean length1.1597938
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row99
2nd row7
3rd row7
4th row99
5th row7

Common Values

ValueCountFrequency (%)
7 124
63.9%
99 31
 
16.0%
2 29
 
14.9%
8 10
 
5.2%

Length

2024-05-10T21:05:05.381914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:05:05.979347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7 124
63.9%
99 31
 
16.0%
2 29
 
14.9%
8 10
 
5.2%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
경기도
194 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 194
100.0%

Length

2024-05-10T21:05:06.379603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:05:06.756637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 194
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
수원시
194 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 194
100.0%

Length

2024-05-10T21:05:07.063498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:05:07.337990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수원시 194
100.0%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
41110
194 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41110
2nd row41110
3rd row41110
4th row41110
5th row41110

Common Values

ValueCountFrequency (%)
41110 194
100.0%

Length

2024-05-10T21:05:07.629036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:05:07.949355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41110 194
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-10T21:05:08.670763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length29.613402
Min length23

Characters and Unicode

Total characters5745
Distinct characters163
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)100.0%

Sample

1st row경기도 수원시 영통구 매탄로 158 (매탄동)
2nd row경기도 수원시 장안구 정자로 132-1 102호 (정자동)
3rd row경기도 수원시 장안구 정자로41번길 12 201호(천천동 신명아파트상가동)
4th row경기도 수원시 장안구 정자천로163 (정자동)
5th row경기도 수원시 장안구 정조로 958 (영화동)
ValueCountFrequency (%)
경기도 194
 
15.7%
수원시 194
 
15.7%
장안구 59
 
4.8%
영통구 47
 
3.8%
팔달구 46
 
3.7%
권선구 42
 
3.4%
매탄동 23
 
1.9%
1층 18
 
1.5%
정자동 17
 
1.4%
인계동 16
 
1.3%
Other values (380) 583
47.1%
2024-05-10T21:05:09.857694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1045
 
18.2%
원 229
 
4.0%
수 211
 
3.7%
1 209
 
3.6%
경 203
 
3.5%
로 202
 
3.5%
구 201
 
3.5%
기 195
 
3.4%
시 195
 
3.4%
도 194
 
3.4%
Other values (153) 2861
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3361
58.5%
Space Separator 1045
 
18.2%
Decimal Number 911
 
15.9%
Close Punctuation 193
 
3.4%
Open Punctuation 193
 
3.4%
Dash Punctuation 39
 
0.7%
Uppercase Letter 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 229
 
6.8%
수 211
 
6.3%
경 203
 
6.0%
로 202
 
6.0%
구 201
 
6.0%
기 195
 
5.8%
시 195
 
5.8%
도 194
 
5.8%
동 193
 
5.7%
길 108
 
3.2%
Other values (136) 1430
42.5%
Decimal Number
ValueCountFrequency (%)
1 209
22.9%
2 138
15.1%
3 103
11.3%
0 81
 
8.9%
5 79
 
8.7%
4 76
 
8.3%
9 65
 
7.1%
6 59
 
6.5%
7 55
 
6.0%
8 46
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
1045
100.0%
Close Punctuation
ValueCountFrequency (%)
) 193
100.0%
Open Punctuation
ValueCountFrequency (%)
( 193
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3361
58.5%
Common 2381
41.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 229
 
6.8%
수 211
 
6.3%
경 203
 
6.0%
로 202
 
6.0%
구 201
 
6.0%
기 195
 
5.8%
시 195
 
5.8%
도 194
 
5.8%
동 193
 
5.7%
길 108
 
3.2%
Other values (136) 1430
42.5%
Common
ValueCountFrequency (%)
1045
43.9%
1 209
 
8.8%
) 193
 
8.1%
( 193
 
8.1%
2 138
 
5.8%
3 103
 
4.3%
0 81
 
3.4%
5 79
 
3.3%
4 76
 
3.2%
9 65
 
2.7%
Other values (4) 199
 
8.4%
Latin
ValueCountFrequency (%)
B 1
33.3%
a 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3361
58.5%
ASCII 2384
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1045
43.8%
1 209
 
8.8%
) 193
 
8.1%
( 193
 
8.1%
2 138
 
5.8%
3 103
 
4.3%
0 81
 
3.4%
5 79
 
3.3%
4 76
 
3.2%
9 65
 
2.7%
Other values (7) 202
 
8.5%
Hangul
ValueCountFrequency (%)
원 229
 
6.8%
수 211
 
6.3%
경 203
 
6.0%
로 202
 
6.0%
구 201
 
6.0%
기 195
 
5.8%
시 195
 
5.8%
도 194
 
5.8%
동 193
 
5.7%
길 108
 
3.2%
Other values (136) 1430
42.5%

소재지지번주소
Text

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-10T21:05:10.614432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length21.21134
Min length18

Characters and Unicode

Total characters4115
Distinct characters78
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)100.0%

Sample

1st row경기도 수원시 영통구 매탄동 832-22
2nd row경기도 수원시 장안구 정자동 461-7
3rd row경기도 수원시 장안구 천천동 482
4th row경기도 수원시 장안구 정자동 878-5
5th row경기도 수원시 장안구 영화동 301-2
ValueCountFrequency (%)
경기도 194
20.0%
수원시 194
20.0%
장안구 59
 
6.1%
영통구 47
 
4.8%
팔달구 46
 
4.7%
권선구 42
 
4.3%
매탄동 23
 
2.4%
정자동 17
 
1.8%
인계동 16
 
1.6%
영통동 13
 
1.3%
Other values (228) 319
32.9%
2024-05-10T21:05:11.871185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
776
18.9%
원 210
 
5.1%
구 198
 
4.8%
수 196
 
4.8%
경 194
 
4.7%
도 194
 
4.7%
시 194
 
4.7%
기 194
 
4.7%
동 186
 
4.5%
- 171
 
4.2%
Other values (68) 1602
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2331
56.6%
Decimal Number 835
 
20.3%
Space Separator 776
 
18.9%
Dash Punctuation 171
 
4.2%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 210
 
9.0%
구 198
 
8.5%
수 196
 
8.4%
경 194
 
8.3%
도 194
 
8.3%
시 194
 
8.3%
기 194
 
8.3%
동 186
 
8.0%
영 68
 
2.9%
장 68
 
2.9%
Other values (54) 629
27.0%
Decimal Number
ValueCountFrequency (%)
1 167
20.0%
2 91
10.9%
4 91
10.9%
3 83
9.9%
5 81
9.7%
7 68
8.1%
9 68
8.1%
8 66
 
7.9%
0 62
 
7.4%
6 58
 
6.9%
Space Separator
ValueCountFrequency (%)
776
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2331
56.6%
Common 1784
43.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 210
 
9.0%
구 198
 
8.5%
수 196
 
8.4%
경 194
 
8.3%
도 194
 
8.3%
시 194
 
8.3%
기 194
 
8.3%
동 186
 
8.0%
영 68
 
2.9%
장 68
 
2.9%
Other values (54) 629
27.0%
Common
ValueCountFrequency (%)
776
43.5%
- 171
 
9.6%
1 167
 
9.4%
2 91
 
5.1%
4 91
 
5.1%
3 83
 
4.7%
5 81
 
4.5%
7 68
 
3.8%
9 68
 
3.8%
8 66
 
3.7%
Other values (4) 122
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2331
56.6%
ASCII 1784
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
776
43.5%
- 171
 
9.6%
1 167
 
9.4%
2 91
 
5.1%
4 91
 
5.1%
3 83
 
4.7%
5 81
 
4.5%
7 68
 
3.8%
9 68
 
3.8%
8 66
 
3.7%
Other values (4) 122
 
6.8%
Hangul
ValueCountFrequency (%)
원 210
 
9.0%
구 198
 
8.5%
수 196
 
8.4%
경 194
 
8.3%
도 194
 
8.3%
시 194
 
8.3%
기 194
 
8.3%
동 186
 
8.0%
영 68
 
2.9%
장 68
 
2.9%
Other values (54) 629
27.0%

위도
Real number (ℝ)

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.276881
Minimum37.238731
Maximum37.316211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-10T21:05:12.308078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.238731
5-th percentile37.249348
Q137.264372
median37.27397
Q337.292819
95-th percentile37.306384
Maximum37.316211
Range0.07748067
Interquartile range (IQR)0.028447087

Descriptive statistics

Standard deviation0.01845005
Coefficient of variation (CV)0.00049494618
Kurtosis-0.9359318
Mean37.276881
Median Absolute Deviation (MAD)0.014537175
Skewness0.086650481
Sum7231.715
Variance0.00034040434
MonotonicityNot monotonic
2024-05-10T21:05:12.780646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2643838 1
 
0.5%
37.25347243 1
 
0.5%
37.28491467 1
 
0.5%
37.26630163 1
 
0.5%
37.27884453 1
 
0.5%
37.26836199 1
 
0.5%
37.24971008 1
 
0.5%
37.25881723 1
 
0.5%
37.30352893 1
 
0.5%
37.30236331 1
 
0.5%
Other values (184) 184
94.8%
ValueCountFrequency (%)
37.23873081 1
0.5%
37.23889135 1
0.5%
37.23939717 1
0.5%
37.2416363 1
0.5%
37.24271909 1
0.5%
37.24523322 1
0.5%
37.24599747 1
0.5%
37.24668949 1
0.5%
37.2482315 1
0.5%
37.24867495 1
0.5%
ValueCountFrequency (%)
37.31621148 1
0.5%
37.30970989 1
0.5%
37.30837763 1
0.5%
37.30801764 1
0.5%
37.30780709 1
0.5%
37.30774989 1
0.5%
37.30773756 1
0.5%
37.30711282 1
0.5%
37.30692072 1
0.5%
37.3064366 1
0.5%

경도
Real number (ℝ)

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.01815
Minimum126.93898
Maximum127.08308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-10T21:05:13.199260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.93898
5-th percentile126.97249
Q1126.99985
median127.0174
Q3127.03687
95-th percentile127.06816
Maximum127.08308
Range0.1440968
Interquartile range (IQR)0.0370176

Descriptive statistics

Standard deviation0.028951071
Coefficient of variation (CV)0.00022792861
Kurtosis-0.093670382
Mean127.01815
Median Absolute Deviation (MAD)0.01930785
Skewness-0.012420656
Sum24641.522
Variance0.00083816452
MonotonicityNot monotonic
2024-05-10T21:05:13.619440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0452041 1
 
0.5%
127.0230507 1
 
0.5%
126.9902042 1
 
0.5%
127.0023389 1
 
0.5%
127.0255785 1
 
0.5%
127.0252035 1
 
0.5%
127.0748274 1
 
0.5%
127.0423484 1
 
0.5%
127.0056198 1
 
0.5%
127.0063892 1
 
0.5%
Other values (184) 184
94.8%
ValueCountFrequency (%)
126.9389843 1
0.5%
126.9418519 1
0.5%
126.9545082 1
0.5%
126.9548346 1
0.5%
126.9575545 1
0.5%
126.9577323 1
0.5%
126.9680744 1
0.5%
126.9691778 1
0.5%
126.9716743 1
0.5%
126.9718403 1
0.5%
ValueCountFrequency (%)
127.0830811 1
0.5%
127.0830516 1
0.5%
127.0828537 1
0.5%
127.0806585 1
0.5%
127.0774655 1
0.5%
127.0774604 1
0.5%
127.0758794 1
0.5%
127.0748274 1
0.5%
127.0710227 1
0.5%
127.0690537 1
0.5%

업소전화번호
Text

Distinct179
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-10T21:05:14.144401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.087629
Min length12

Characters and Unicode

Total characters2345
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

Unique178 ?
Unique (%)91.8%

Sample

1st row031-215-3366
2nd row031-247-5722
3rd row031-268-4036
4th row031-269-8033
5th row031-258-2889
ValueCountFrequency (%)
000-0000-0000 16
 
8.2%
031-296-5951 1
 
0.5%
031-251-8987 1
 
0.5%
031-233-8145 1
 
0.5%
031-244-1126 1
 
0.5%
031-255-1565 1
 
0.5%
031-252-8912 1
 
0.5%
031-245-7822 1
 
0.5%
031-216-5560 1
 
0.5%
031-253-0075 1
 
0.5%
Other values (169) 169
87.1%
2024-05-10T21:05:15.124266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 462
19.7%
- 388
16.5%
1 301
12.8%
3 300
12.8%
2 279
11.9%
5 123
 
5.2%
4 123
 
5.2%
6 102
 
4.3%
8 96
 
4.1%
7 89
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1957
83.5%
Dash Punctuation 388
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 462
23.6%
1 301
15.4%
3 300
15.3%
2 279
14.3%
5 123
 
6.3%
4 123
 
6.3%
6 102
 
5.2%
8 96
 
4.9%
7 89
 
4.5%
9 82
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 388
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2345
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 462
19.7%
- 388
16.5%
1 301
12.8%
3 300
12.8%
2 279
11.9%
5 123
 
5.2%
4 123
 
5.2%
6 102
 
4.3%
8 96
 
4.1%
7 89
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2345
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 462
19.7%
- 388
16.5%
1 301
12.8%
3 300
12.8%
2 279
11.9%
5 123
 
5.2%
4 123
 
5.2%
6 102
 
4.3%
8 96
 
4.1%
7 89
 
3.8%

할인적용최소연령
Categorical

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
70
93 
65
86 
75
11 
60
 
2
80
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row70
2nd row70
3rd row70
4th row65
5th row70

Common Values

ValueCountFrequency (%)
70 93
47.9%
65 86
44.3%
75 11
 
5.7%
60 2
 
1.0%
80 2
 
1.0%

Length

2024-05-10T21:05:15.495567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:05:15.843323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
70 93
47.9%
65 86
44.3%
75 11
 
5.7%
60 2
 
1.0%
80 2
 
1.0%

할인율
Categorical

Distinct20
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
62 
20
43 
30
26 
10
22 
50
16 
Other values (15)
25 

Length

Max length5
Median length2
Mean length2.8814433
Min length1

Unique

Unique10 ?
Unique (%)5.2%

Sample

1st row30
2nd row30
3rd row20+30
4th row10
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 62
32.0%
20 43
22.2%
30 26
13.4%
10 22
 
11.3%
50 16
 
8.2%
100 4
 
2.1%
20+30 4
 
2.1%
40 3
 
1.5%
25+30 2
 
1.0%
20+50 2
 
1.0%
Other values (10) 10
 
5.2%

Length

2024-05-10T21:05:16.208555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 62
32.0%
20 43
22.2%
30 26
13.4%
10 22
 
11.3%
50 16
 
8.2%
100 4
 
2.1%
20+30 4
 
2.1%
40 3
 
1.5%
25+30 2
 
1.0%
20+50 2
 
1.0%
Other values (10) 10
 
5.2%

할인금액
Categorical

IMBALANCE 

Distinct24
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
125 
1000
19 
2000
 
10
5000+20000
 
6
10000+30000
 
4
Other values (19)
30 

Length

Max length16
Median length4
Mean length5.1185567
Min length4

Unique

Unique11 ?
Unique (%)5.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row5000

Common Values

ValueCountFrequency (%)
<NA> 125
64.4%
1000 19
 
9.8%
2000 10
 
5.2%
5000+20000 6
 
3.1%
10000+30000 4
 
2.1%
8000+25000 3
 
1.5%
10000 3
 
1.5%
10000+25000 3
 
1.5%
5000 2
 
1.0%
5000+10000 2
 
1.0%
Other values (14) 17
 
8.8%

Length

2024-05-10T21:05:16.597469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 125
64.4%
1000 19
 
9.8%
2000 10
 
5.2%
5000+20000 6
 
3.1%
10000+30000 4
 
2.1%
8000+25000 3
 
1.5%
10000 3
 
1.5%
10000+25000 3
 
1.5%
5000+20000+15000 2
 
1.0%
7000+20000 2
 
1.0%
Other values (14) 17
 
8.8%

할인대상서비스명
Text

Distinct55
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-10T21:05:17.085138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.5154639
Min length1

Characters and Unicode

Total characters876
Distinct characters108
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)18.6%

Sample

1st row안경테
2nd row커트+파마
3rd row커트+파마+염색
4th row안경테
5th row염색
ValueCountFrequency (%)
전품목 35
17.8%
커트+파마 33
16.8%
커트 17
 
8.6%
커트+펌 14
 
7.1%
안경테 14
 
7.1%
커트+파마+염색 7
 
3.6%
커트+펌+염색 6
 
3.0%
입장요금 5
 
2.5%
이발+세발 4
 
2.0%
전메뉴 3
 
1.5%
Other values (48) 59
29.9%
2024-05-10T21:05:17.908916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 110
 
12.6%
트 87
 
9.9%
커 86
 
9.8%
마 44
 
5.0%
파 43
 
4.9%
전 40
 
4.6%
목 36
 
4.1%
품 35
 
4.0%
안 28
 
3.2%
경 28
 
3.2%
Other values (98) 339
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 757
86.4%
Math Symbol 110
 
12.6%
Space Separator 3
 
0.3%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 87
 
11.5%
커 86
 
11.4%
마 44
 
5.8%
파 43
 
5.7%
전 40
 
5.3%
목 36
 
4.8%
품 35
 
4.6%
안 28
 
3.7%
경 28
 
3.7%
염 26
 
3.4%
Other values (92) 304
40.2%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
5 1
50.0%
Math Symbol
ValueCountFrequency (%)
+ 110
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 757
86.4%
Common 119
 
13.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 87
 
11.5%
커 86
 
11.4%
마 44
 
5.8%
파 43
 
5.7%
전 40
 
5.3%
목 36
 
4.8%
품 35
 
4.6%
안 28
 
3.7%
경 28
 
3.7%
염 26
 
3.4%
Other values (92) 304
40.2%
Common
ValueCountFrequency (%)
+ 110
92.4%
3
 
2.5%
) 2
 
1.7%
( 2
 
1.7%
1 1
 
0.8%
5 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 757
86.4%
ASCII 119
 
13.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 110
92.4%
3
 
2.5%
) 2
 
1.7%
( 2
 
1.7%
1 1
 
0.8%
5 1
 
0.8%
Hangul
ValueCountFrequency (%)
트 87
 
11.5%
커 86
 
11.4%
마 44
 
5.8%
파 43
 
5.7%
전 40
 
5.3%
목 36
 
4.8%
품 35
 
4.6%
안 28
 
3.7%
경 28
 
3.7%
염 26
 
3.4%
Other values (92) 304
40.2%

할인부가정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

평일운영시작시각
Categorical

Distinct14
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
10:00
64 
11:00
45 
09:00
26 
09:30
19 
08:00
10 
Other values (9)
30 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row10:00
2nd row10:00
3rd row08:00
4th row09:00
5th row09:00

Common Values

ValueCountFrequency (%)
10:00 64
33.0%
11:00 45
23.2%
09:00 26
13.4%
09:30 19
 
9.8%
08:00 10
 
5.2%
00:00 8
 
4.1%
10:30 8
 
4.1%
06:00 3
 
1.5%
07:00 3
 
1.5%
11:30 2
 
1.0%
Other values (4) 6
 
3.1%

Length

2024-05-10T21:05:18.361703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00 64
33.0%
11:00 45
23.2%
09:00 26
13.4%
09:30 19
 
9.8%
08:00 10
 
5.2%
00:00 8
 
4.1%
10:30 8
 
4.1%
06:00 3
 
1.5%
07:00 3
 
1.5%
11:30 2
 
1.0%
Other values (4) 6
 
3.1%

평일운영종료시각
Categorical

Distinct15
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
20:00
81 
21:00
37 
22:00
18 
19:00
16 
21:30
10 
Other values (10)
32 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)2.1%

Sample

1st row21:30
2nd row18:00
3rd row20:00
4th row20:30
5th row20:00

Common Values

ValueCountFrequency (%)
20:00 81
41.8%
21:00 37
19.1%
22:00 18
 
9.3%
19:00 16
 
8.2%
21:30 10
 
5.2%
23:59 8
 
4.1%
20:30 6
 
3.1%
18:00 5
 
2.6%
19:30 4
 
2.1%
23:00 3
 
1.5%
Other values (5) 6
 
3.1%

Length

2024-05-10T21:05:18.615755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:00 81
41.8%
21:00 37
19.1%
22:00 18
 
9.3%
19:00 16
 
8.2%
21:30 10
 
5.2%
23:59 8
 
4.1%
20:30 6
 
3.1%
18:00 5
 
2.6%
19:30 4
 
2.1%
23:00 3
 
1.5%
Other values (5) 6
 
3.1%

토요일운영시작시각
Categorical

Distinct14
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
10:00
64 
11:00
45 
09:00
26 
09:30
19 
08:00
10 
Other values (9)
30 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row10:00
2nd row10:00
3rd row08:00
4th row09:00
5th row09:00

Common Values

ValueCountFrequency (%)
10:00 64
33.0%
11:00 45
23.2%
09:00 26
13.4%
09:30 19
 
9.8%
08:00 10
 
5.2%
00:00 8
 
4.1%
10:30 8
 
4.1%
06:00 3
 
1.5%
07:00 3
 
1.5%
11:30 2
 
1.0%
Other values (4) 6
 
3.1%

Length

2024-05-10T21:05:18.961204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00 64
33.0%
11:00 45
23.2%
09:00 26
13.4%
09:30 19
 
9.8%
08:00 10
 
5.2%
00:00 8
 
4.1%
10:30 8
 
4.1%
06:00 3
 
1.5%
07:00 3
 
1.5%
11:30 2
 
1.0%
Other values (4) 6
 
3.1%

토요일운영종료시각
Categorical

Distinct15
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
20:00
81 
21:00
37 
22:00
18 
19:00
16 
21:30
10 
Other values (10)
32 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)2.1%

Sample

1st row21:30
2nd row18:00
3rd row20:00
4th row20:30
5th row20:00

Common Values

ValueCountFrequency (%)
20:00 81
41.8%
21:00 37
19.1%
22:00 18
 
9.3%
19:00 16
 
8.2%
21:30 10
 
5.2%
23:59 8
 
4.1%
20:30 6
 
3.1%
18:00 5
 
2.6%
19:30 4
 
2.1%
23:00 3
 
1.5%
Other values (5) 6
 
3.1%

Length

2024-05-10T21:05:19.230517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:00 81
41.8%
21:00 37
19.1%
22:00 18
 
9.3%
19:00 16
 
8.2%
21:30 10
 
5.2%
23:59 8
 
4.1%
20:30 6
 
3.1%
18:00 5
 
2.6%
19:30 4
 
2.1%
23:00 3
 
1.5%
Other values (5) 6
 
3.1%

공휴일운영시작시각
Categorical

Distinct14
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
10:00
64 
11:00
45 
09:00
26 
09:30
19 
08:00
10 
Other values (9)
30 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row10:00
2nd row10:00
3rd row08:00
4th row09:00
5th row09:00

Common Values

ValueCountFrequency (%)
10:00 64
33.0%
11:00 45
23.2%
09:00 26
13.4%
09:30 19
 
9.8%
08:00 10
 
5.2%
00:00 9
 
4.6%
10:30 7
 
3.6%
06:00 3
 
1.5%
07:00 3
 
1.5%
11:30 2
 
1.0%
Other values (4) 6
 
3.1%

Length

2024-05-10T21:05:19.895428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00 64
33.0%
11:00 45
23.2%
09:00 26
13.4%
09:30 19
 
9.8%
08:00 10
 
5.2%
00:00 9
 
4.6%
10:30 7
 
3.6%
06:00 3
 
1.5%
07:00 3
 
1.5%
11:30 2
 
1.0%
Other values (4) 6
 
3.1%

공휴일운영종료시각
Categorical

Distinct15
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
20:00
81 
21:00
37 
22:00
18 
19:00
15 
21:30
10 
Other values (10)
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)1.5%

Sample

1st row21:30
2nd row18:00
3rd row20:00
4th row20:30
5th row20:00

Common Values

ValueCountFrequency (%)
20:00 81
41.8%
21:00 37
19.1%
22:00 18
 
9.3%
19:00 15
 
7.7%
21:30 10
 
5.2%
23:59 8
 
4.1%
20:30 6
 
3.1%
18:00 5
 
2.6%
19:30 4
 
2.1%
23:00 3
 
1.5%
Other values (5) 7
 
3.6%

Length

2024-05-10T21:05:20.317877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:00 81
41.8%
21:00 37
19.1%
22:00 18
 
9.3%
19:00 15
 
7.7%
21:30 10
 
5.2%
23:59 8
 
4.1%
20:30 6
 
3.1%
18:00 5
 
2.6%
19:30 4
 
2.1%
23:00 3
 
1.5%
Other values (5) 7
 
3.6%

경로우대업소지정일자
Categorical

Distinct16
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2019-08-20
38 
2015-01-01
30 
2011-01-01
29 
2016-01-01
22 
2013-01-01
17 
Other values (11)
58 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique3 ?
Unique (%)1.5%

Sample

1st row2016-01-01
2nd row2003-01-01
3rd row2022-12-13
4th row2016-01-01
5th row2012-01-01

Common Values

ValueCountFrequency (%)
2019-08-20 38
19.6%
2015-01-01 30
15.5%
2011-01-01 29
14.9%
2016-01-01 22
11.3%
2013-01-01 17
8.8%
2010-01-01 17
8.8%
2003-01-01 11
 
5.7%
2012-01-01 9
 
4.6%
2020-05-01 5
 
2.6%
2021-04-01 5
 
2.6%
Other values (6) 11
 
5.7%

Length

2024-05-10T21:05:20.741702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-08-20 38
19.6%
2015-01-01 30
15.5%
2011-01-01 29
14.9%
2016-01-01 22
11.3%
2013-01-01 17
8.8%
2010-01-01 17
8.8%
2003-01-01 11
 
5.7%
2012-01-01 9
 
4.6%
2020-05-01 5
 
2.6%
2021-04-01 5
 
2.6%
Other values (6) 11
 
5.7%

경로우대업소해제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
경기도 수원시청
194 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 수원시청
2nd row경기도 수원시청
3rd row경기도 수원시청
4th row경기도 수원시청
5th row경기도 수원시청

Common Values

ValueCountFrequency (%)
경기도 수원시청 194
100.0%

Length

2024-05-10T21:05:21.158025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:05:21.555367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 194
50.0%
수원시청 194
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
031-228-2227
194 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-228-2227
2nd row031-228-2227
3rd row031-228-2227
4th row031-228-2227
5th row031-228-2227

Common Values

ValueCountFrequency (%)
031-228-2227 194
100.0%

Length

2024-05-10T21:05:21.990141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:05:22.351102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-228-2227 194
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-11-08
194 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-08
2nd row2023-11-08
3rd row2023-11-08
4th row2023-11-08
5th row2023-11-08

Common Values

ValueCountFrequency (%)
2023-11-08 194
100.0%

Length

2024-05-10T21:05:22.690363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:05:23.026006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-08 194
100.0%

Sample

업소명업종명코드시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도업소전화번호할인적용최소연령할인율할인금액할인대상서비스명할인부가정보평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각경로우대업소지정일자경로우대업소해제일자관리기관명관리기관전화번호데이터기준일자
0다본안경매탄점99경기도수원시41110경기도 수원시 영통구 매탄로 158 (매탄동)경기도 수원시 영통구 매탄동 832-2237.264384127.045204031-215-33667030<NA>안경테<NA>10:0021:3010:0021:3010:0021:302016-01-01<NA>경기도 수원시청031-228-22272023-11-08
1김정숙헤어샵7경기도수원시41110경기도 수원시 장안구 정자로 132-1 102호 (정자동)경기도 수원시 장안구 정자동 461-737.303041126.991462031-247-57227030<NA>커트+파마<NA>10:0018:0010:0018:0010:0018:002003-01-01<NA>경기도 수원시청031-228-22272023-11-08
2레드헤어7경기도수원시41110경기도 수원시 장안구 정자로41번길 12 201호(천천동 신명아파트상가동)경기도 수원시 장안구 천천동 48237.30116126.981974031-268-40367020+30<NA>커트+파마+염색<NA>08:0020:0008:0020:0008:0020:002022-12-13<NA>경기도 수원시청031-228-22272023-11-08
3하나로안경원99경기도수원시41110경기도 수원시 장안구 정자천로163 (정자동)경기도 수원시 장안구 정자동 878-537.294981126.994116031-269-80336510<NA>안경테<NA>09:0020:3009:0020:3009:0020:302016-01-01<NA>경기도 수원시청031-228-22272023-11-08
4컷트클럽7경기도수원시41110경기도 수원시 장안구 정조로 958 (영화동)경기도 수원시 장안구 영화동 301-237.292803127.011564031-258-288970<NA>5000염색<NA>09:0020:0009:0020:0009:0020:002012-01-01<NA>경기도 수원시청031-228-22272023-11-08
5동강맑은송어2경기도수원시41110경기도 수원시 장안구 조원로111번길 39 (조원동)경기도 수원시 장안구 조원동 759-1737.300708127.013078031-245-354565<NA>2000송어회<NA>11:3022:0011:3022:0011:3022:002019-08-20<NA>경기도 수원시청031-228-22272023-11-08
6조원탕이발관7경기도수원시41110경기도 수원시 장안구 조원로89번길 46 (조원동)경기도 수원시 장안구 조원동 760-437.299606127.01377031-241-81076550<NA>이발+세발+염색<NA>06:0019:0006:0019:0006:0019:002011-01-01<NA>경기도 수원시청031-228-22272023-11-08
7도매당안경99경기도수원시41110경기도 수원시 장안구 창룡대로181 (연무동)경기도 수원시 장안구 연무동 246-3437.292383127.029776031-248-25726510+20<NA>안경테<NA>10:0021:0010:0021:0010:0021:002016-01-01<NA>경기도 수원시청031-228-22272023-11-08
8다온헤어7경기도수원시41110경기도 수원시 장안구 천천로22번길 34 (정자동)경기도 수원시 장안구 정자동 880-337.294238126.989516031-257-12336530<NA>커트+파마<NA>10:0019:3010:0019:3010:0019:302016-01-01<NA>경기도 수원시청031-228-22272023-11-08
9수지미용실7경기도수원시41110경기도 수원시 장안구 파장로 88번길 2 (파장동)경기도 수원시 장안구 파장동 572-4137.307113126.991587031-244-382370<NA>5000+20000+15000커트+파마+염색<NA>09:0020:0009:0020:0009:0020:002013-01-01<NA>경기도 수원시청031-228-22272023-11-08
업소명업종명코드시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도업소전화번호할인적용최소연령할인율할인금액할인대상서비스명할인부가정보평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각경로우대업소지정일자경로우대업소해제일자관리기관명관리기관전화번호데이터기준일자
184순대가2경기도수원시41110경기도 수원시 권선구 장다리로 90 (권선동)경기도 수원시 권선구 권선동 987-1537.258123127.021378031-237-08887010<NA>전메뉴<NA>11:0020:0011:0020:0011:0020:002019-08-20<NA>경기도 수원시청031-228-22272023-11-08
185버드내이용원7경기도수원시41110경기도 수원시 권선구 정조로 482번길 48 (세류동)경기도 수원시 권선구 세류동 984-1037.251474127.013836000-0000-00006520<NA>이발+세발<NA>07:0020:0007:0020:0007:0020:002011-01-01<NA>경기도 수원시청031-228-22272023-11-08
186김미용실7경기도수원시41110경기도 수원시 권선구 정조로526번길 39-2 (세류동)경기도 수원시 권선구 세류동 1018-1437.256115127.013709031-235-16686550<NA>커트+파마<NA>08:0020:0008:0020:0008:0020:002015-01-01<NA>경기도 수원시청031-228-22272023-11-08
187예쁘제7경기도수원시41110경기도 수원시 권선구 평동로 111 (평동)경기도 수원시 권선구 평동 14-1137.260744126.99552000-0000-00006520<NA>전품목<NA>09:3021:0009:3021:0009:3021:002013-01-01<NA>경기도 수원시청031-228-22272023-11-08
188아줄레주헤어7경기도수원시41110경기도 수원시 영통구 반달로35번길 30323호 (영통동 영통역아이파크)경기도 수원시 영통구 영통동 1012-137.251781127.07746031-204-40907025+30<NA>커트+파마+염색<NA>11:0020:0011:0020:0011:0020:002012-01-01<NA>경기도 수원시청031-228-22272023-11-08
189선가2경기도수원시41110경기도 수원시 영통구 산남로 8 (매탄동)경기도 수원시 영통구 매탄동 834-1637.264345127.047333031-213-0202655<NA>전메뉴<NA>11:0023:0011:0023:0011:0023:002011-01-01<NA>경기도 수원시청031-228-22272023-11-08
190손영남헤어7경기도수원시41110경기도 수원시 영통구 삼성로 308 101호 (원천동)경기도 수원시 영통구 원천동 300-337.266849127.067581031-204-61817540<NA>전품목<NA>10:0020:0010:0020:0010:0020:002015-01-01<NA>경기도 수원시청031-228-22272023-11-08
191다본안경(세류점)99경기도수원시41110경기도 수원시 권선구 세지로 93 (세류동)경기도 수원시 권선구 세류동 84537.260256127.018324031-237-09786510<NA>전품목<NA>10:0022:0010:0022:0010:0022:002016-01-01<NA>경기도 수원시청031-228-22272023-11-08
192설현한식뷔페2경기도수원시41110경기도 수원시 권선구 오목천로132번길33 104호 (고색동 휴먼스카이밸리)경기도 수원시 권선구 고색동 95937.242719126.976487000-0000-000065<NA>2000전메뉴<NA>11:0020:0011:0020:0011:0020:002019-08-20<NA>경기도 수원시청031-228-22272023-11-08
193헤어칼라미용실7경기도수원시41110경기도 수원시 권선구 정조로413번길 68 1층 (세류동)경기도 수원시 권선구 세류동 114237.248675127.01265031-233-185970<NA>5000+20000커트+펌+염색<NA>11:0020:0011:0020:0011:0020:002019-08-20<NA>경기도 수원시청031-228-22272023-11-08