Overview

Dataset statistics

Number of variables15
Number of observations990
Missing cells71
Missing cells (%)0.5%
Duplicate rows257
Duplicate rows (%)26.0%
Total size in memory122.9 KiB
Average record size in memory127.1 B

Variable types

Categorical5
Text5
Numeric5

Alerts

종별코드 has constant value ""Constant
종별코드명 has constant value ""Constant
시도코드 has constant value ""Constant
시도명 has constant value ""Constant
Dataset has 257 (26.0%) duplicate rowsDuplicates
우편번호 is highly overall correlated with y좌표High correlation
y좌표 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
x좌표 is highly overall correlated with 시군구명High correlation
시군구코드 is highly overall correlated with 시군구명High correlation
시군구명 is highly overall correlated with y좌표 and 2 other fieldsHigh correlation
전화번호 has 27 (2.7%) missing valuesMissing
y좌표 has 15 (1.5%) missing valuesMissing
x좌표 has 15 (1.5%) missing valuesMissing
읍면동명 has 14 (1.4%) missing valuesMissing

Reproduction

Analysis started2024-03-13 11:53:14.978390
Analysis finished2024-03-13 11:53:19.998505
Duration5.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종별코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
81
990 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row81
2nd row81
3rd row81
4th row81
5th row81

Common Values

ValueCountFrequency (%)
81 990
100.0%

Length

2024-03-13T20:53:20.070274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:53:20.190479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
81 990
100.0%
Distinct733
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-03-13T20:53:20.592159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length80
Mean length80
Min length80

Characters and Unicode

Total characters79200
Distinct characters28
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique476 ?
Unique (%)48.1%

Sample

1st rowJDQ4MTYyMiM2MSMkMSMkMiMkMDMkNDgxMzUxIzQxIyQyIyQ3IyQwMCQzNjE4MzIjNjEjJDEjJDQjJDgz
2nd rowJDQ4MTYyMiM2MSMkMSMkMiMkMDMkNDgxMzUxIzQxIyQyIyQ3IyQwMCQzNjEwMDIjODEjJDEjJDYjJDgz
3rd rowJDQ4MTYyMiM2MSMkMSMkMiMkMDMkNDgxMzUxIzQxIyQyIyQ3IyQwMCQzNjE0ODEjNDEjJDEjJDgjJDgz
4th rowJDQ4MTYyMiM2MSMkMSMkMiMkMDMkNDgxMzUxIzQxIyQyIyQ3IyQwMCQyNjE0ODEjODEjJDEjJDIjJDgz
5th rowJDQ4MTYyMiM2MSMkMSMkMiMkMDMkNDgxMzUxIzQxIyQxIyQ3IyQ5OSQ0NjEwMDIjNjEjJDEjJDAjJDgz
ValueCountFrequency (%)
jdq4mtyymim2msmkmsmkmimkmdmkmzgxmzuxizexiyqxiyqziyqxmyqynje0odejnjejjdejjdqjjdgz 2
 
0.2%
jdq4mtyymim2msmkmsmkmimkmdmkndgxmzuxizixiyqxiyq1iyq4miqynje0odejnjejjdejjdajjdgz 2
 
0.2%
jdq4mtyymim2msmkmsmkmimkmdmkmzgxnzayizixiyqxiyq5iyqwmyq0njewmdijntejjdejjdyjjdgz 2
 
0.2%
jdq4mtyymim2msmkmsmkmimkmdmkndgxmzuxizixiyqxiyq1iyq4osq0nje0odejntejjdejjdyjjdgz 2
 
0.2%
jdq4mtyymim2msmkmsmkmimkmdmkndgxmzuxizixiyqxiyqxiyqwmyqynjewmdijndejjdejjdgjjdgz 2
 
0.2%
jdq4mtyymim2msmkmsmkmimkmdmkmzgxmzuxizuxiyqxiyqxiyq3osqynje0odejndejjdejjdgjjdgz 2
 
0.2%
jdq4mtyymim2msmkmsmkmimkmdmkmzgxotyxizuxiyqxiyq1iyq4miqynjeymjijntejjdejjdijjdgz 2
 
0.2%
jdq4mtyymim2msmkmsmkmimkmdmkndgxmzuxizixiyqxiyqxiyqwmyqznje4mzijndejjdejjdqjjdgz 2
 
0.2%
jdq4mtyymim2msmkmsmkmimkmdmkndgxmzuxizixiyqxiyqxiyqxmyqynje0odejndejjdejjdqjjdgz 2
 
0.2%
jdq4mtyymim2msmkmsmkmimkmdmkmzgxmzuxizmxiyqxiyq3iyq4miqznje4mzijodejjdejjdyjjdgz 2
 
0.2%
Other values (723) 970
98.0%
2024-03-13T20:53:21.070816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
M 13946
17.6%
D 6308
 
8.0%
j 5415
 
6.8%
Q 5215
 
6.6%
I 5188
 
6.6%
y 5029
 
6.3%
z 4230
 
5.3%
k 4167
 
5.3%
J 3960
 
5.0%
x 3908
 
4.9%
Other values (18) 21834
27.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 47339
59.8%
Lowercase Letter 27896
35.2%
Decimal Number 3965
 
5.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 13946
29.5%
D 6308
13.3%
Q 5215
 
11.0%
I 5188
 
11.0%
J 3960
 
8.4%
E 3394
 
7.2%
S 2278
 
4.8%
N 2261
 
4.8%
T 1541
 
3.3%
Y 1336
 
2.8%
Other values (4) 1912
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
j 5415
19.4%
y 5029
18.0%
z 4230
15.2%
k 4167
14.9%
x 3908
14.0%
i 2370
8.5%
g 2298
8.2%
w 479
 
1.7%
Decimal Number
ValueCountFrequency (%)
4 1368
34.5%
2 1089
27.5%
3 506
 
12.8%
0 497
 
12.5%
5 348
 
8.8%
1 157
 
4.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 75235
95.0%
Common 3965
 
5.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 13946
18.5%
D 6308
 
8.4%
j 5415
 
7.2%
Q 5215
 
6.9%
I 5188
 
6.9%
y 5029
 
6.7%
z 4230
 
5.6%
k 4167
 
5.5%
J 3960
 
5.3%
x 3908
 
5.2%
Other values (12) 17869
23.8%
Common
ValueCountFrequency (%)
4 1368
34.5%
2 1089
27.5%
3 506
 
12.8%
0 497
 
12.5%
5 348
 
8.8%
1 157
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
M 13946
17.6%
D 6308
 
8.0%
j 5415
 
6.8%
Q 5215
 
6.6%
I 5188
 
6.6%
y 5029
 
6.3%
z 4230
 
5.3%
k 4167
 
5.3%
J 3960
 
5.0%
x 3908
 
4.9%
Other values (18) 21834
27.6%

종별코드명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
약국
990 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
약국 990
100.0%

Length

2024-03-13T20:53:21.243692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:53:21.361917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약국 990
100.0%

전화번호
Text

MISSING 

Distinct709
Distinct (%)73.6%
Missing27
Missing (%)2.7%
Memory size7.9 KiB
2024-03-13T20:53:21.597508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length11.987539
Min length8

Characters and Unicode

Total characters11544
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

Unique456 ?
Unique (%)47.4%

Sample

1st row041-567-6770
2nd row041-545-8806
3rd row041-977-3434
4th row041-668-0142
5th row041-573-0027
ValueCountFrequency (%)
041-000-0000 3
 
0.3%
070-4110-7764 2
 
0.2%
042-841-0731 2
 
0.2%
041-858-7789 2
 
0.2%
041-934-5515 2
 
0.2%
041-688-5658 2
 
0.2%
041-952-3959 2
 
0.2%
041-564-9700 2
 
0.2%
041-574-2333 2
 
0.2%
041-335-3451 2
 
0.2%
Other values (699) 942
97.8%
2024-03-13T20:53:22.015354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1920
16.6%
0 1578
13.7%
4 1546
13.4%
1 1494
12.9%
5 1224
10.6%
3 879
7.6%
6 677
 
5.9%
7 663
 
5.7%
2 586
 
5.1%
8 561
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9624
83.4%
Dash Punctuation 1920
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1578
16.4%
4 1546
16.1%
1 1494
15.5%
5 1224
12.7%
3 879
9.1%
6 677
7.0%
7 663
6.9%
2 586
 
6.1%
8 561
 
5.8%
9 416
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 1920
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11544
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1920
16.6%
0 1578
13.7%
4 1546
13.4%
1 1494
12.9%
5 1224
10.6%
3 879
7.6%
6 677
 
5.9%
7 663
 
5.7%
2 586
 
5.1%
8 561
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11544
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1920
16.6%
0 1578
13.7%
4 1546
13.4%
1 1494
12.9%
5 1224
10.6%
3 879
7.6%
6 677
 
5.9%
7 663
 
5.7%
2 586
 
5.1%
8 561
 
4.9%
Distinct564
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-03-13T20:53:22.354496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.6949495
Min length3

Characters and Unicode

Total characters4648
Distinct characters295
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

Unique314 ?
Unique (%)31.7%

Sample

1st row천안부광약국
2nd row수정약국
3rd row사거리 열린약국
4th row천사약국
5th row나나약국
ValueCountFrequency (%)
서울약국 11
 
1.1%
조은약국 10
 
1.0%
푸른약국 9
 
0.9%
우리약국 8
 
0.8%
신세계약국 8
 
0.8%
미소약국 7
 
0.7%
건강약국 7
 
0.7%
백세약국 7
 
0.7%
중앙약국 7
 
0.7%
현대약국 7
 
0.7%
Other values (558) 920
91.9%
2024-03-13T20:53:22.878545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
998
21.5%
991
21.3%
87
 
1.9%
60
 
1.3%
56
 
1.2%
52
 
1.1%
51
 
1.1%
51
 
1.1%
51
 
1.1%
50
 
1.1%
Other values (285) 2201
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4617
99.3%
Decimal Number 20
 
0.4%
Space Separator 11
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
998
21.6%
991
21.5%
87
 
1.9%
60
 
1.3%
56
 
1.2%
52
 
1.1%
51
 
1.1%
51
 
1.1%
51
 
1.1%
50
 
1.1%
Other values (279) 2170
47.0%
Decimal Number
ValueCountFrequency (%)
6 6
30.0%
5 6
30.0%
3 5
25.0%
2 2
 
10.0%
1 1
 
5.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4617
99.3%
Common 31
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
998
21.6%
991
21.5%
87
 
1.9%
60
 
1.3%
56
 
1.2%
52
 
1.1%
51
 
1.1%
51
 
1.1%
51
 
1.1%
50
 
1.1%
Other values (279) 2170
47.0%
Common
ValueCountFrequency (%)
11
35.5%
6 6
19.4%
5 6
19.4%
3 5
16.1%
2 2
 
6.5%
1 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4617
99.3%
ASCII 31
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
998
21.6%
991
21.5%
87
 
1.9%
60
 
1.3%
56
 
1.2%
52
 
1.1%
51
 
1.1%
51
 
1.1%
51
 
1.1%
50
 
1.1%
Other values (279) 2170
47.0%
ASCII
ValueCountFrequency (%)
11
35.5%
6 6
19.4%
5 6
19.4%
3 5
16.1%
2 2
 
6.5%
1 1
 
3.2%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct338
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31967.219
Minimum0
Maximum34435
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-13T20:53:23.072234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31090
Q131176.25
median31857
Q332585
95-th percentile33466.55
Maximum34435
Range34435
Interquartile range (IQR)1408.75

Descriptive statistics

Standard deviation1296.7066
Coefficient of variation (CV)0.040563635
Kurtosis373.04853
Mean31967.219
Median Absolute Deviation (MAD)691
Skewness-15.030227
Sum31647547
Variance1681448
MonotonicityNot monotonic
2024-03-13T20:53:23.239827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31981 32
 
3.2%
31156 23
 
2.3%
31513 12
 
1.2%
31770 11
 
1.1%
33642 11
 
1.1%
32974 11
 
1.1%
31037 10
 
1.0%
32506 9
 
0.9%
31123 9
 
0.9%
31470 9
 
0.9%
Other values (328) 853
86.2%
ValueCountFrequency (%)
0 1
 
0.1%
31009 2
 
0.2%
31014 1
 
0.1%
31016 5
0.5%
31019 2
 
0.2%
31031 3
 
0.3%
31037 10
1.0%
31045 2
 
0.2%
31046 2
 
0.2%
31053 1
 
0.1%
ValueCountFrequency (%)
34435 1
 
0.1%
33675 2
 
0.2%
33674 1
 
0.1%
33671 2
 
0.2%
33670 3
 
0.3%
33657 1
 
0.1%
33643 2
 
0.2%
33642 11
1.1%
33635 2
 
0.2%
33624 2
 
0.2%

y좌표
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct705
Distinct (%)72.3%
Missing15
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean36.63307
Minimum36.010334
Maximum37.014834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-13T20:53:23.410093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.010334
5-th percentile36.106453
Q136.456299
median36.780305
Q336.811825
95-th percentile36.897526
Maximum37.014834
Range1.0044994
Interquartile range (IQR)0.3555254

Descriptive statistics

Standard deviation0.26113344
Coefficient of variation (CV)0.0071283526
Kurtosis-0.62060878
Mean36.63307
Median Absolute Deviation (MAD)0.064217
Skewness-0.91704448
Sum35717.244
Variance0.068190674
MonotonicityNot monotonic
2024-03-13T20:53:23.637956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.7933496 4
 
0.4%
36.799774 4
 
0.4%
36.8024036 4
 
0.4%
36.1014629 3
 
0.3%
36.820513 3
 
0.3%
36.8014806 3
 
0.3%
36.7848546 3
 
0.3%
36.2816264 2
 
0.2%
36.8004868 2
 
0.2%
36.4758017 2
 
0.2%
Other values (695) 945
95.5%
(Missing) 15
 
1.5%
ValueCountFrequency (%)
36.0103342 2
0.2%
36.0110353 2
0.2%
36.0111035 1
0.1%
36.0115572 2
0.2%
36.0115702 1
0.1%
36.0187008 1
0.1%
36.0753797 2
0.2%
36.0755769 1
0.1%
36.0755915 1
0.1%
36.0755936 2
0.2%
ValueCountFrequency (%)
37.0148336 2
0.2%
37.0116851 2
0.2%
36.989979 1
0.1%
36.981561 1
0.1%
36.9751767 1
0.1%
36.957901 1
0.1%
36.9569587 1
0.1%
36.9422792 2
0.2%
36.9410627 1
0.1%
36.9387115 2
0.2%

x좌표
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct704
Distinct (%)72.2%
Missing15
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean126.93896
Minimum126.13691
Maximum127.49751
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-13T20:53:23.845630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.13691
5-th percentile126.4522
Q1126.68635
median127.06855
Q3127.13353
95-th percentile127.24338
Maximum127.49751
Range1.3606008
Interquartile range (IQR)0.4471809

Descriptive statistics

Standard deviation0.27992987
Coefficient of variation (CV)0.0022052321
Kurtosis-0.54508872
Mean126.93896
Median Absolute Deviation (MAD)0.0899823
Skewness-0.59061052
Sum123765.48
Variance0.07836073
MonotonicityNot monotonic
2024-03-13T20:53:24.047342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1294022 4
 
0.4%
127.1245364 4
 
0.4%
126.6883054 4
 
0.4%
127.136388 4
 
0.4%
127.4975118 3
 
0.3%
127.1563472 3
 
0.3%
127.1188958 3
 
0.3%
127.0152216 3
 
0.3%
127.1497551 2
 
0.2%
126.8024674 2
 
0.2%
Other values (694) 943
95.3%
(Missing) 15
 
1.5%
ValueCountFrequency (%)
126.136911 2
0.2%
126.1947329 1
0.1%
126.2582887 2
0.2%
126.2938732 1
0.1%
126.2940299 1
0.1%
126.2948727 1
0.1%
126.2949205 1
0.1%
126.2981263 2
0.2%
126.2983192 1
0.1%
126.3019645 1
0.1%
ValueCountFrequency (%)
127.4975118 3
0.3%
127.4964472 1
 
0.1%
127.4962822 2
0.2%
127.4914365 1
 
0.1%
127.4913353 2
0.2%
127.491242 1
 
0.1%
127.4911882 1
 
0.1%
127.4906156 1
 
0.1%
127.4905718 2
0.2%
127.4903174 1
 
0.1%

시도코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
340000
990 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row340000
2nd row340000
3rd row340000
4th row340000
5th row340000

Common Values

ValueCountFrequency (%)
340000 990
100.0%

Length

2024-03-13T20:53:24.185382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:53:24.277701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
340000 990
100.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
충남
990 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충남 990
100.0%

Length

2024-03-13T20:53:24.403905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:53:24.529175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충남 990
100.0%

개설일자
Real number (ℝ)

Distinct685
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20091447
Minimum19610627
Maximum20231129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-13T20:53:24.674579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19610627
5-th percentile19814909
Q120030951
median20130228
Q320190201
95-th percentile20220817
Maximum20231129
Range620502
Interquartile range (IQR)159250.25

Descriptive statistics

Standard deviation126453.15
Coefficient of variation (CV)0.0062938796
Kurtosis2.0614454
Mean20091447
Median Absolute Deviation (MAD)70084.5
Skewness-1.4827025
Sum1.9890533 × 1010
Variance1.5990399 × 1010
MonotonicityNot monotonic
2024-03-13T20:53:24.883582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211012 5
 
0.5%
20190920 4
 
0.4%
20000823 4
 
0.4%
20181130 4
 
0.4%
20040701 4
 
0.4%
20120402 4
 
0.4%
20130228 4
 
0.4%
20080501 4
 
0.4%
20111108 3
 
0.3%
20161230 3
 
0.3%
Other values (675) 951
96.1%
ValueCountFrequency (%)
19610627 2
0.2%
19630803 2
0.2%
19640908 1
0.1%
19670308 2
0.2%
19670421 1
0.1%
19680624 1
0.1%
19680911 2
0.2%
19690515 2
0.2%
19690528 1
0.1%
19690628 2
0.2%
ValueCountFrequency (%)
20231129 1
0.1%
20231018 1
0.1%
20231016 1
0.1%
20231013 1
0.1%
20231004 1
0.1%
20230828 1
0.1%
20230822 1
0.1%
20230818 1
0.1%
20230720 1
0.1%
20230620 1
0.1%

읍면동명
Text

MISSING 

Distinct131
Distinct (%)13.4%
Missing14
Missing (%)1.4%
Memory size7.9 KiB
2024-03-13T20:53:25.205208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.982582
Min length2

Characters and Unicode

Total characters2911
Distinct characters121
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

Unique22 ?
Unique (%)2.3%

Sample

1st row구성동
2nd row모종동
3rd row홍성읍
4th row동문동
5th row쌍용동
ValueCountFrequency (%)
동문동 54
 
5.5%
쌍용동 42
 
4.3%
읍내동 33
 
3.4%
신부동 31
 
3.2%
불당동 30
 
3.1%
홍성읍 29
 
3.0%
성정동 26
 
2.7%
배방읍 25
 
2.6%
온천동 25
 
2.6%
금산읍 24
 
2.5%
Other values (121) 657
67.3%
2024-03-13T20:53:25.658783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
622
21.4%
310
 
10.6%
146
 
5.0%
126
 
4.3%
112
 
3.8%
99
 
3.4%
84
 
2.9%
64
 
2.2%
62
 
2.1%
55
 
1.9%
Other values (111) 1231
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2911
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
622
21.4%
310
 
10.6%
146
 
5.0%
126
 
4.3%
112
 
3.8%
99
 
3.4%
84
 
2.9%
64
 
2.2%
62
 
2.1%
55
 
1.9%
Other values (111) 1231
42.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2911
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
622
21.4%
310
 
10.6%
146
 
5.0%
126
 
4.3%
112
 
3.8%
99
 
3.4%
84
 
2.9%
64
 
2.2%
62
 
2.1%
55
 
1.9%
Other values (111) 1231
42.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2911
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
622
21.4%
310
 
10.6%
146
 
5.0%
126
 
4.3%
112
 
3.8%
99
 
3.4%
84
 
2.9%
64
 
2.2%
62
 
2.1%
55
 
1.9%
Other values (111) 1231
42.3%

시군구코드
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean340344.88
Minimum340002
Maximum340900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-13T20:53:25.812318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum340002
5-th percentile340007
Q1340201
median340202
Q3340500
95-th percentile340900
Maximum340900
Range898
Interquartile range (IQR)299

Descriptive statistics

Standard deviation265.50803
Coefficient of variation (CV)0.00078011467
Kurtosis-0.7922848
Mean340344.88
Median Absolute Deviation (MAD)193
Skewness0.48528915
Sum3.3694143 × 108
Variance70494.513
MonotonicityNot monotonic
2024-03-13T20:53:25.960652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
340201 176
17.8%
340500 130
13.1%
340202 127
12.8%
340600 90
9.1%
340700 73
7.4%
340300 67
 
6.8%
340900 61
 
6.2%
340400 47
 
4.7%
340015 37
 
3.7%
340012 36
 
3.6%
Other values (6) 146
14.7%
ValueCountFrequency (%)
340002 31
 
3.1%
340007 30
 
3.0%
340009 30
 
3.0%
340012 36
 
3.6%
340014 12
 
1.2%
340015 37
 
3.7%
340016 25
 
2.5%
340201 176
17.8%
340202 127
12.8%
340300 67
 
6.8%
ValueCountFrequency (%)
340900 61
 
6.2%
340800 18
 
1.8%
340700 73
7.4%
340600 90
9.1%
340500 130
13.1%
340400 47
 
4.7%
340300 67
 
6.8%
340202 127
12.8%
340201 176
17.8%
340016 25
 
2.5%

주소
Text

Distinct729
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-03-13T20:53:26.374798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length115
Median length56
Mean length33.442424
Min length25

Characters and Unicode

Total characters33108
Distinct characters340
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique472 ?
Unique (%)47.7%

Sample

1st row충청남도 천안시 동남구 충절로 276, 부광약국 (구성동)
2nd row충청남도 아산시 모종로 5, (모종동)
3rd row충청남도 홍성군 홍성읍 홍장북로 417, 1층
4th row충청남도 서산시 안견로 216, (동문동)
5th row충청남도 천안시 서북구 미라15길 23, 상가동 205호 (쌍용동, 대우타워아파트)
ValueCountFrequency (%)
충청남도 990
 
16.0%
천안시 303
 
4.9%
서북구 176
 
2.8%
1층 171
 
2.8%
아산시 130
 
2.1%
동남구 127
 
2.1%
서산시 90
 
1.5%
논산시 73
 
1.2%
공주시 67
 
1.1%
당진시 61
 
1.0%
Other values (1139) 3988
64.6%
2024-03-13T20:53:26.959840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5187
 
15.7%
4 2550
 
7.7%
1159
 
3.5%
1 1104
 
3.3%
& 1101
 
3.3%
; 1101
 
3.3%
# 1101
 
3.3%
1067
 
3.2%
1046
 
3.2%
996
 
3.0%
Other values (330) 16696
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16649
50.3%
Decimal Number 6013
 
18.2%
Space Separator 5187
 
15.7%
Other Punctuation 3305
 
10.0%
Close Punctuation 881
 
2.7%
Open Punctuation 881
 
2.7%
Dash Punctuation 142
 
0.4%
Uppercase Letter 46
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1159
 
7.0%
1067
 
6.4%
1046
 
6.3%
996
 
6.0%
860
 
5.2%
836
 
5.0%
815
 
4.9%
611
 
3.7%
514
 
3.1%
503
 
3.0%
Other values (292) 8242
49.5%
Uppercase Letter
ValueCountFrequency (%)
S 6
13.0%
I 6
13.0%
T 5
10.9%
J 4
8.7%
U 3
 
6.5%
Y 3
 
6.5%
C 3
 
6.5%
A 3
 
6.5%
E 2
 
4.3%
D 2
 
4.3%
Other values (6) 9
19.6%
Decimal Number
ValueCountFrequency (%)
4 2550
42.4%
1 1104
18.4%
2 494
 
8.2%
0 365
 
6.1%
3 332
 
5.5%
6 258
 
4.3%
8 254
 
4.2%
5 231
 
3.8%
7 213
 
3.5%
9 212
 
3.5%
Other Punctuation
ValueCountFrequency (%)
& 1101
33.3%
; 1101
33.3%
# 1101
33.3%
1
 
< 0.1%
@ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
a 1
50.0%
j 1
50.0%
Space Separator
ValueCountFrequency (%)
5187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 881
100.0%
Open Punctuation
ValueCountFrequency (%)
( 881
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16649
50.3%
Common 16411
49.6%
Latin 48
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1159
 
7.0%
1067
 
6.4%
1046
 
6.3%
996
 
6.0%
860
 
5.2%
836
 
5.0%
815
 
4.9%
611
 
3.7%
514
 
3.1%
503
 
3.0%
Other values (292) 8242
49.5%
Common
ValueCountFrequency (%)
5187
31.6%
4 2550
15.5%
1 1104
 
6.7%
& 1101
 
6.7%
; 1101
 
6.7%
# 1101
 
6.7%
) 881
 
5.4%
( 881
 
5.4%
2 494
 
3.0%
0 365
 
2.2%
Other values (10) 1646
 
10.0%
Latin
ValueCountFrequency (%)
S 6
12.5%
I 6
12.5%
T 5
10.4%
J 4
 
8.3%
U 3
 
6.2%
Y 3
 
6.2%
C 3
 
6.2%
A 3
 
6.2%
E 2
 
4.2%
D 2
 
4.2%
Other values (8) 11
22.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16649
50.3%
ASCII 16458
49.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5187
31.5%
4 2550
15.5%
1 1104
 
6.7%
& 1101
 
6.7%
; 1101
 
6.7%
# 1101
 
6.7%
) 881
 
5.4%
( 881
 
5.4%
2 494
 
3.0%
0 365
 
2.2%
Other values (27) 1693
 
10.3%
Hangul
ValueCountFrequency (%)
1159
 
7.0%
1067
 
6.4%
1046
 
6.3%
996
 
6.0%
860
 
5.2%
836
 
5.0%
815
 
4.9%
611
 
3.7%
514
 
3.1%
503
 
3.0%
Other values (292) 8242
49.5%
None
ValueCountFrequency (%)
1
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
천안서북구
176 
아산시
130 
천안동남구
127 
서산시
90 
논산시
73 
Other values (11)
394 

Length

Max length5
Median length3
Mean length3.6121212
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row천안동남구
2nd row아산시
3rd row홍성군
4th row서산시
5th row천안서북구

Common Values

ValueCountFrequency (%)
천안서북구 176
17.8%
아산시 130
13.1%
천안동남구 127
12.8%
서산시 90
9.1%
논산시 73
7.4%
공주시 67
 
6.8%
당진시 61
 
6.2%
보령시 47
 
4.7%
홍성군 37
 
3.7%
예산군 36
 
3.6%
Other values (6) 146
14.7%

Length

2024-03-13T20:53:27.174637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천안서북구 176
17.8%
아산시 130
13.1%
천안동남구 127
12.8%
서산시 90
9.1%
논산시 73
7.4%
공주시 67
 
6.8%
당진시 61
 
6.2%
보령시 47
 
4.7%
홍성군 37
 
3.7%
예산군 36
 
3.6%
Other values (6) 146
14.7%

Interactions

2024-03-13T20:53:18.814040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:15.830624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:16.425783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:17.112060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:17.737393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:18.968123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:16.002690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:16.536153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:17.255279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:17.875100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:19.109270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:16.109976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:16.643778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:17.381033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:18.070570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:19.249781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:16.214056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:16.776546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:17.495690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:18.265674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:19.371786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:16.328189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:17.007075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:17.623502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:53:18.406472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T20:53:27.611576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호y좌표x좌표개설일자시군구코드시군구명
우편번호1.0000.1290.1990.0000.2160.255
y좌표0.1291.0000.8640.3020.8820.951
x좌표0.1990.8641.0000.2750.9530.957
개설일자0.0000.3020.2751.0000.2310.296
시군구코드0.2160.8820.9530.2311.0001.000
시군구명0.2550.9510.9570.2961.0001.000
2024-03-13T20:53:27.731596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호y좌표x좌표개설일자시군구코드시군구명
우편번호1.000-0.858-0.442-0.0680.0590.199
y좌표-0.8581.0000.1140.1190.1400.787
x좌표-0.4420.1141.000-0.046-0.2250.808
개설일자-0.0680.119-0.0461.000-0.0070.122
시군구코드0.0590.140-0.225-0.0071.0000.996
시군구명0.1990.7870.8080.1220.9961.000

Missing values

2024-03-13T20:53:19.525456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:53:19.764811image/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.
2024-03-13T20:53:19.931305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

종별코드암호화된 요양기호종별코드명전화번호병원명우편번호y좌표x좌표시도코드시도명개설일자읍면동명시군구코드주소시군구명
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281JDQ4MTYyMiM2MSMkMSMkMiMkMDMkNDgxMzUxIzQxIyQyIyQ3IyQwMCQzNjE0ODEjNDEjJDEjJDgjJDgz약국041-977-3434사거리 열린약국3223936.591864126.668894340000충남20201112홍성읍340015충청남도 홍성군 홍성읍 홍장북로 417&#44; 1층홍성군
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781JDQ4MTYyMiM2MSMkMSMkMiMkMDMkNDgxMzUxIzQxIyQxIyQ3IyQ5OSQzNjEyMjIjNDEjJDEjJDQjJDgz약국041-631-3900유약국32222<NA><NA>340000충남20231013홍성읍340015충청남도 홍성군 홍성읍 조양로 141&#44; (홍성읍)홍성군
881JDQ4MTYyMiM2MSMkMSMkMiMkMDMkNDgxMzUxIzQxIyQxIyQ3IyQ5OSQyNjE4MzIjNjEjJDEjJDQjJDgz약국041-551-6860밝은약국3112536.816839127.158498340000충남20190208신부동340202충청남도 천안시 동남구 충절로 23&#44; 1층 (신부동)천안동남구
981JDQ4MTYyMiM2MSMkMSMkMiMkMDMkNDgxMzUxIzQxIyQxIyQ3IyQ5OSQyNjE0ODEjNDEjJDEjJDgjJDgz약국041-663-0615솔내음약국31931<NA><NA>340000충남20180614성연면340600충청남도 서산시 성연면 성연3로 53&#44; 스타빌딩 102호서산시
종별코드암호화된 요양기호종별코드명전화번호병원명우편번호y좌표x좌표시도코드시도명개설일자읍면동명시군구코드주소시군구명
98081JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMzUxIzIxIyQxIyQ1IyQ2MiQzNjEwMDIjODEjJDEjJDYjJDgz약국041-735-0715가족약국3296636.206711127.085648340000충남20220204화지동340700충청남도 논산시 중앙로480번길 19&#44; 1층 (화지동)논산시
98181JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMzUxIzIxIyQxIyQxIyQ5MiQzNjEyMjIjNTEjJDEjJDIjJDgz약국041-745-2722백세약국3293936.157552127.016993340000충남20161230강경읍340700충청남도 논산시 강경읍 계백로 152-1&#44; (강경읍)논산시
98281JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMzUxIzIxIyQxIyQxIyQ3MiQyNjE0ODEjODEjJDEjJDYjJDgz약국041-855-2626중앙약국3254036.458491127.12471340000충남20010611산성동340300충청남도 공주시 웅진로 203&#44; (산성동)공주시
98381JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMzUxIzIxIyQxIyQxIyQ2MiQ0NjE0ODEjNzEjJDEjJDgjJDgz약국041-632-8562백쪼약국3222036.60044126.672335340000충남20170110홍성읍340015충청남도 홍성군 홍성읍 조양로 203-102&#44; (홍성읍)홍성군
98481JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMzUxIzIxIyQyIyQxIyQwMCQ0NjE0ODEjNDEjJDEjJDQjJDgz약국041-741-6926양촌약국3302236.137584127.237194340000충남19940214양촌면340700충청남도 논산시 양촌면 황산벌로 450&#44; (양촌면)논산시
98581JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMzUxIzIxIyQyIyQxIyQwMCQyNjE4MzIjODEjJDEjJDYjJDgz약국042-841-3580계룡온누리약국036.290282127.242344340000충남20021231엄사면340800충청남도 계룡시 엄사면 엄사중앙로 107&#44; (엄사면)계룡시
98681JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMzUxIzIxIyQxIyQxIyQ5OSQzNjE0ODEjNDEjJDEjJDQjJDgz약국041-836-6053서광약국3317636.252319127.002504340000충남19910528석성면340007충청남도 부여군 석성면 왕릉로 710&#44; (석성면)부여군
98781JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMzUxIzExIyQxIyQ3IyQ5MiQzNjE4MzIjNjEjJDEjJDAjJDgz약국041-858-8001밤골약국3251236.611137127.121357340000충남20090921정안면340300충청남도 공주시 정안면 정안중앙길 187&#44; (정안면)공주시
98881JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMzUxIzExIyQxIyQzIyQxMyQyNjE0ODEjNjEjJDEjJDQjJDgz약국041-572-0331푸른약국3117136.798365127.117922340000충남20020117쌍용동340201충청남도 천안시 서북구 월봉로 85&#44; (쌍용동)천안서북구
98981JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMzUxIzExIyQxIyQzIyQ2MiQ0NjE0ODEjNjEjJDEjJDAjJDgz약국041-858-7789프라자약국3255536.457207127.125039340000충남20020627산성동340300충청남도 공주시 웅진로 188&#44; 1층 (산성동)공주시

Duplicate rows

Most frequently occurring

종별코드암호화된 요양기호종별코드명전화번호병원명우편번호y좌표x좌표시도코드시도명개설일자읍면동명시군구코드주소시군구명# duplicates
081JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMTkxIzExIyQxIyQ3IyQ2MiQyNjEwMDIjNjEjJDEjJDAjJDgz약국041-858-8334왕성약국3259436.475802127.152844340000충남20210201월송동340300충청남도 공주시 무령로 592&#44; 1층 102호 (월송동)공주시2
181JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMTkxIzExIyQxIyQ3IyQ3OSQyNjEwMDIjNjEjJDEjJDQjJDgz약국041-576-9700희망약국3115436.798166127.131048340000충남20150420쌍용동340201충청남도 천안시 서북구 쌍용대로 8&#44; (쌍용동)천안서북구2
281JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMTkxIzExIyQxIyQ3IyQ3OSQzNjEwMDIjODEjJDEjJDIjJDgz약국041-533-3534모산종합약국3148236.775448127.059064340000충남20010716배방읍340500충청남도 아산시 배방읍 모산로149번길 6&#44; (배방읍)아산시2
381JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMTkxIzExIyQxIyQ3IyQ4MiQyNjEyMjIjNzEjJDEjJDgjJDgz약국041-547-6500아산종합약국3151336.782294127.004204340000충남20051202온천동340500충청남도 아산시 충무로 9&#44; (온천동)아산시2
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681JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMTkxIzExIyQxIyQ3IyQxMyQ0NjE0ODEjODEjJDEjJDIjJDgz약국041-665-4335세계로약국3198136.782501126.459131340000충남20181130동문동340600충청남도 서산시 안견로 178&#44; 1층 (동문동)서산시2
781JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMTkxIzExIyQxIyQzIyQ2MiQzNjE0ODEjNTEjJDEjJDIjJDgz약국041-561-2594백두산옵티마약국3125436.762301127.299774340000충남20010120병천면340202충청남도 천안시 동남구 병천면 아우내순대길 54&#44; (병천면)천안동남구2
881JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMTkxIzExIyQxIyQzIyQ3OSQyNjE4MzIjNjEjJDEjJDQjJDgz약국041-533-6080녹십자약국3151436.783053127.005135340000충남20001020온천동340500충청남도 아산시 충무로 22&#44; 103호 (온천동&#44; UL CITY)아산시2
981JDQ4MTYyMiM2MSMkMSMkMiMkMDMkMzgxMTkxIzExIyQxIyQzIyQ4MiQzNjEyMjIjNTEjJDEjJDYjJDgz약국041-522-0589코끼리약국3116336.809735127.110863340000충남20060228불당동340201충청남도 천안시 서북구 불당17길 27&#44; (불당동)천안서북구2