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 started2024-05-17 19:51:06.793764
Analysis finished2024-05-17 19:51:08.005026
Duration1.21 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
2024-05-18T04:51:08.423414image/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 row수일미용실
2nd row서문안경
3rd row라인헤어
4th row메가스파랜드24시불가마사우나
5th row복이용원
ValueCountFrequency (%)
수원인계점 2
 
0.9%
수원역점 2
 
0.9%
수일미용실 1
 
0.5%
j.o.boutique(제이오헤어부띠끄 1
 
0.5%
롯데웰빙불한증막사우나 1
 
0.5%
까꼬뽀꼬 1
 
0.5%
이태리안경동수원점 1
 
0.5%
북수원갈비 1
 
0.5%
신윤미용실 1
 
0.5%
아까르마 1
 
0.5%
Other values (205) 205
94.5%
2024-05-18T04:51:09.446826image/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%
Open Punctuation 6
 
0.5%
Close 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%
u 2
8.3%
a 2
8.3%
o 2
8.3%
i 1
 
4.2%
q 1
 
4.2%
r 1
 
4.2%
c 1
 
4.2%
Other values (4) 4
16.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
20.0%
M 2
13.3%
B 2
13.3%
S 2
13.3%
J 1
 
6.7%
O 1
 
6.7%
L 1
 
6.7%
K 1
 
6.7%
D 1
 
6.7%
R 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%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close 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%
t 3
 
7.7%
s 3
 
7.7%
A 3
 
7.7%
u 2
 
5.1%
M 2
 
5.1%
a 2
 
5.1%
B 2
 
5.1%
o 2
 
5.1%
S 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%
& 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%
. 3
 
3.1%
t 3
 
3.1%
s 3
 
3.1%
A 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 row7
2nd row99
3rd row7
4th row8
5th row7

Common Values

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

Length

2024-05-18T04:51:09.796968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:51:10.092799image/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

2024-05-18T04:51:10.398956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:51:10.824430image/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

2024-05-18T04:51:11.100480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:51:11.412294image/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

2024-05-18T04:51:11.726420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:51:12.031244image/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
2024-05-18T04:51:12.610655image/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 장안구 파장천로58번길 77-2 (파장동)
2nd row경기도 수원시 장안구 팔달로199 (영화동)
3rd row경기도 수원시 장안구 팔달로291번길 34 (영화동)
4th row경기도 수원시 장안구 송원로 81 (조원동)
5th row경기도 수원시 장안구 송원로86번길 50 (송죽동)
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%
2024-05-18T04:51:13.584583image/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%
시 195
 
3.4%
기 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%
Open Punctuation 193
 
3.4%
Close 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%
시 195
 
5.8%
기 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%
Open Punctuation
ValueCountFrequency (%)
( 193
100.0%
Close 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%
시 195
 
5.8%
기 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 (%)
a 1
33.3%
B 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%
시 195
 
5.8%
기 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
2024-05-18T04:51:14.325776image/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 장안구 파장동 631-6
2nd row경기도 수원시 장안구 영화동 444-11
3rd row경기도 수원시 장안구 영화동 184-1
4th row경기도 수원시 장안구 조원동 898-1
5th row경기도 수원시 장안구 조원동 753-8
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%
2024-05-18T04:51:15.450515image/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%
4 91
10.9%
2 91
10.9%
3 83
9.9%
5 81
9.7%
9 68
8.1%
7 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%
4 91
 
5.1%
2 91
 
5.1%
3 83
 
4.7%
5 81
 
4.5%
9 68
 
3.8%
7 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%
4 91
 
5.1%
2 91
 
5.1%
3 83
 
4.7%
5 81
 
4.5%
9 68
 
3.8%
7 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
2024-05-18T04:51:15.921797image/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
2024-05-18T04:51:16.309629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.30837763 1
 
0.5%
37.27350101 1
 
0.5%
37.27229012 1
 
0.5%
37.25111143 1
 
0.5%
37.25862985 1
 
0.5%
37.26684921 1
 
0.5%
37.26025568 1
 
0.5%
37.24271909 1
 
0.5%
37.30131246 1
 
0.5%
37.29282475 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
2024-05-18T04:51:16.703702image/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
2024-05-18T04:51:17.057111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0007638 1
 
0.5%
126.9418519 1
 
0.5%
127.0469528 1
 
0.5%
127.0243923 1
 
0.5%
127.0267624 1
 
0.5%
127.067581 1
 
0.5%
127.018324 1
 
0.5%
126.9764872 1
 
0.5%
127.0136001 1
 
0.5%
127.0045868 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
2024-05-18T04:51:17.664731image/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 row031-256-4683
2nd row031-247-2046
3rd row031-258-3445
4th row031-257-7007
5th row000-0000-0000
ValueCountFrequency (%)
000-0000-0000 16
 
8.2%
031-246-4225 1
 
0.5%
031-251-5700 1
 
0.5%
031-255-1565 1
 
0.5%
031-203-0741 1
 
0.5%
031-211-5005 1
 
0.5%
031-213-7337 1
 
0.5%
031-213-4403 1
 
0.5%
031-221-4020 1
 
0.5%
031-204-6181 1
 
0.5%
Other values (169) 169
87.1%
2024-05-18T04:51:18.679921image/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 row65
2nd row65
3rd row65
4th row65
5th row65

Common Values

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

Length

2024-05-18T04:51:19.161862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:51:19.466803image/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 row20
2nd row10
3rd row20
4th row20
5th row20

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%
20+50 2
 
1.0%
25+30 2
 
1.0%
Other values (10) 10
 
5.2%

Length

2024-05-18T04:51:19.874146image/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%
20+50 2
 
1.0%
25+30 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 row<NA>

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%
10000 3
 
1.5%
10000+25000 3
 
1.5%
8000+25000 3
 
1.5%
7000+20000 2
 
1.0%
5000+20000+15000 2
 
1.0%
Other values (14) 17
 
8.8%

Length

2024-05-18T04:51:20.872931image/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%
10000 3
 
1.5%
10000+25000 3
 
1.5%
8000+25000 3
 
1.5%
3000 2
 
1.0%
5000 2
 
1.0%
Other values (14) 17
 
8.8%

할인대상서비스명
Text

Distinct55
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-18T04:51:21.515630image/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 row커트+파마
2nd row안경테
3rd row커트+파마
4th row입장요금
5th row커트
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%
2024-05-18T04:51:22.829837image/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 row09:30
3rd row10:00
4th row00:00
5th row08:00

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%
08:30 2
 
1.0%
Other values (4) 6
 
3.1%

Length

2024-05-18T04:51:23.415317image/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%
08:30 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 row19:00
2nd row21:30
3rd row21:00
4th row23:59
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

2024-05-18T04:51:23.938560image/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 row09:30
3rd row10:00
4th row00:00
5th row08:00

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%
08:30 2
 
1.0%
Other values (4) 6
 
3.1%

Length

2024-05-18T04:51:24.224172image/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%
08:30 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 row19:00
2nd row21:30
3rd row21:00
4th row23:59
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

2024-05-18T04:51:24.483885image/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 row09:30
3rd row10:00
4th row00:00
5th row08:00

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%
08:30 2
 
1.0%
Other values (4) 6
 
3.1%

Length

2024-05-18T04:51:24.786607image/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%
08:30 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 row19:00
2nd row21:30
3rd row21:00
4th row23:59
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

2024-05-18T04:51:25.073286image/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 row2003-01-01
2nd row2016-01-01
3rd row2003-01-01
4th row2011-01-01
5th row2011-01-01

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

2024-05-18T04:51:25.380927image/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

2024-05-18T04:51:25.651836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:51:25.884392image/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

2024-05-18T04:51:26.137877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:51:26.407978image/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

2024-05-18T04:51:26.715213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:51:27.020027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-08 194
100.0%

Sample

업소명업종명코드시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도업소전화번호할인적용최소연령할인율할인금액할인대상서비스명할인부가정보평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각경로우대업소지정일자경로우대업소해제일자관리기관명관리기관전화번호데이터기준일자
0수일미용실7경기도수원시41110경기도 수원시 장안구 파장천로58번길 77-2 (파장동)경기도 수원시 장안구 파장동 631-637.308378127.000764031-256-46836520<NA>커트+파마<NA>10:0019:0010:0019:0010:0019:002003-01-01<NA>경기도 수원시청031-228-22272023-11-08
1서문안경99경기도수원시41110경기도 수원시 장안구 팔달로199 (영화동)경기도 수원시 장안구 영화동 444-1137.285773127.007816031-247-20466510<NA>안경테<NA>09:3021:3009:3021:3009:3021:302016-01-01<NA>경기도 수원시청031-228-22272023-11-08
2라인헤어7경기도수원시41110경기도 수원시 장안구 팔달로291번길 34 (영화동)경기도 수원시 장안구 영화동 184-137.292127.015387031-258-34456520<NA>커트+파마<NA>10:0021:0010:0021:0010:0021:002003-01-01<NA>경기도 수원시청031-228-22272023-11-08
3메가스파랜드24시불가마사우나8경기도수원시41110경기도 수원시 장안구 송원로 81 (조원동)경기도 수원시 장안구 조원동 898-137.302137127.009229031-257-70076520<NA>입장요금<NA>00:0023:5900:0023:5900:0023:592011-01-01<NA>경기도 수원시청031-228-22272023-11-08
4복이용원7경기도수원시41110경기도 수원시 장안구 송원로86번길 50 (송죽동)경기도 수원시 장안구 조원동 753-837.3007127.012053000-0000-00006520<NA>커트<NA>08:0020:0008:0020:0008:0020:002011-01-01<NA>경기도 수원시청031-228-22272023-11-08
5까삐네칼국수2경기도수원시41110경기도 수원시 장안구 송정로 161 (조원동)경기도 수원시 장안구 조원동 763-2037.297882127.014235031-242-467370<NA>1000칼국수<NA>11:0020:0011:0020:0011:0020:002019-08-20<NA>경기도 수원시청031-228-22272023-11-08
6미방헤어갤러리7경기도수원시41110경기도 수원시 장안구 송정로46번길 18-2 (정자동)경기도 수원시 장안구 정자동 39-2637.295375127.002359031-254-47496530<NA>커트+파마<NA>10:3021:0010:3021:0010:3021:002013-01-01<NA>경기도 수원시청031-228-22272023-11-08
7깻잎머리미용실7경기도수원시41110경기도 수원시 장안구 송정로59번길 5-1 (송죽동)경기도 수원시 장안구 송죽동 398-5737.296306127.00367031-246-95427030<NA>커트+파마<NA>10:0020:0010:0020:0010:0020:002013-01-01<NA>경기도 수원시청031-228-22272023-11-08
8전미래헤어월드7경기도수원시41110경기도 수원시 장안구 수성로304번길 19 (영화동)경기도 수원시 장안구 영화동 388-1737.290546127.006225031-252-36416530<NA>커트+파마<NA>08:3020:0008:3020:0008:3020:002013-01-01<NA>경기도 수원시청031-228-22272023-11-08
9고향순대국2경기도수원시41110경기도 수원시 장안구 수성로370번길 52 (영화동)경기도 수원시 장안구 영화동 273-537.291596127.01383031-241-492470<NA>1000순대국<NA>10:0023:0010:0023:0010:0023:002011-01-01<NA>경기도 수원시청031-228-22272023-11-08
업소명업종명코드시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도업소전화번호할인적용최소연령할인율할인금액할인대상서비스명할인부가정보평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각경로우대업소지정일자경로우대업소해제일자관리기관명관리기관전화번호데이터기준일자
184향토이발관7경기도수원시41110경기도 수원시 영통구 매탄로160번길 39 (매탄동)경기도 수원시 영통구 매탄동 833-737.264865127.046848031-217-18007020<NA>커트<NA>07:3020:0007:3020:0007:3020:002011-01-01<NA>경기도 수원시청031-228-22272023-11-08
185안경장인99경기도수원시41110경기도 수원시 영통구 법조로149번길 122 104호 (하동)경기도 수원시 영통구 하동 969-237.292925127.069054031-213-39296520+30<NA>돋보기다초점렌즈<NA>11:0020:0011:0020:0011:0020:002019-08-20<NA>경기도 수원시청031-228-22272023-11-08
186스파렉스사우나8경기도수원시41110경기도 수원시 영통구 봉영로 1569 (영통동)경기도 수원시 영통구 영통동 960-437.252064127.071023031-206-667765<NA>1000입장료<NA>00:0023:5900:0023:5900:0023:592011-01-01<NA>경기도 수원시청031-228-22272023-11-08
187비즈안경 수원인계점99경기도수원시41110경기도 수원시 팔달구 효원로265번길 36 혁재빌딩 3층 (인계동)경기도 수원시 팔달구 인계동 1113-1037.263607127.031629031-225-16037010<NA>전품목<NA>11:0020:0011:0020:0011:0020:002019-08-20<NA>경기도 수원시청031-228-22272023-11-08
188하베스헤어7경기도수원시41110경기도 수원시 팔달구 창룡대로150번길 70 (우만동)경기도 수원시 팔달구 우만동 476-837.288642127.028609031-246-31587010<NA>전품목<NA>10:3019:3010:3019:3010:3019:302021-04-01<NA>경기도 수원시청031-228-22272023-11-08
189휴사우나8경기도수원시41110경기도 수원시 팔달구 장다리로 276 (인계동)경기도 수원시 팔달구 인계동 95737.27397127.02822031-239-881070<NA>1000목욕<NA>05:3020:0005:3020:0005:3020:002017-01-01<NA>경기도 수원시청031-228-22272023-11-08
190수미미용실7경기도수원시41110경기도 수원시 팔달구 정조로 872 (북수동)경기도 수원시 팔달구 북수동 17337.285773127.015767031-248-654670<NA>5000+15000+10000커트+파마+염색<NA>08:0021:3008:0021:3008:0021:302010-01-01<NA>경기도 수원시청031-228-22272023-11-08
191김경순미용실7경기도수원시41110경기도 수원시 팔달구 중부대로 33-1 (지동)경기도 수원시 팔달구 지동 424-137.275466127.020585031-244-822070<NA>10000커트<NA>10:0019:0010:0019:0010:0019:002010-01-01<NA>경기도 수원시청031-228-22272023-11-08
192도봉산갈비2경기도수원시41110경기도 수원시 영통구 매탄로100번길 7-6 (매탄동)경기도 수원시 영통구 매탄동 1263-137.259762127.043857031-217-60666510+15<NA>식사류<NA>10:0022:3010:0022:3010:0022:302015-01-01<NA>경기도 수원시청031-228-22272023-11-08
193아줄레주헤어7경기도수원시41110경기도 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