Overview

Dataset statistics

Number of variables21
Number of observations4466
Missing cells17823
Missing cells (%)19.0%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory776.4 KiB
Average record size in memory178.0 B

Variable types

Categorical6
Text5
DateTime2
Unsupported2
Numeric6

Alerts

축산업무구분명 has constant value ""Constant
Dataset has 2 (< 0.1%) duplicate rowsDuplicates
영업상태구분코드 is highly imbalanced (54.7%)Imbalance
영업상태명 is highly imbalanced (54.7%)Imbalance
권리주체일련번호 is highly imbalanced (98.5%)Imbalance
인허가취소일자 has 4466 (100.0%) missing valuesMissing
폐업일자 has 3192 (71.5%) missing valuesMissing
소재지시설전화번호 has 1693 (37.9%) missing valuesMissing
소재지면적정보 has 2970 (66.5%) missing valuesMissing
도로명우편번호 has 334 (7.5%) missing valuesMissing
업태구분명정보 has 4466 (100.0%) missing valuesMissing
X좌표값 has 310 (6.9%) missing valuesMissing
Y좌표값 has 310 (6.9%) missing valuesMissing
소재지면적정보 is highly skewed (γ1 = 27.1314115)Skewed
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 has 1030 (23.1%) zerosZeros

Reproduction

Analysis started2023-12-10 21:46:26.445125
Analysis finished2023-12-10 21:46:27.549917
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct32
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size35.0 KiB
수원시
442 
성남시
380 
고양시
371 
부천시
345 
용인시
300 
Other values (27)
2628 

Length

Max length4
Median length3
Mean length3.0969548
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 442
 
9.9%
성남시 380
 
8.5%
고양시 371
 
8.3%
부천시 345
 
7.7%
용인시 300
 
6.7%
화성시 271
 
6.1%
남양주시 241
 
5.4%
안산시 222
 
5.0%
시흥시 188
 
4.2%
안양시 180
 
4.0%
Other values (22) 1526
34.2%

Length

2023-12-11T06:46:27.605065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 442
 
9.9%
성남시 380
 
8.5%
고양시 371
 
8.3%
부천시 345
 
7.7%
용인시 300
 
6.7%
화성시 271
 
6.1%
남양주시 241
 
5.4%
안산시 222
 
5.0%
시흥시 188
 
4.2%
안양시 180
 
4.0%
Other values (22) 1526
34.2%

사업장명
Text

Distinct2769
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Memory size35.0 KiB
2023-12-11T06:46:27.823493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length5.4086431
Min length1

Characters and Unicode

Total characters24155
Distinct characters522
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2059 ?
Unique (%)46.1%

Sample

1st row우림약국
2nd row연인산약국
3rd row이화온누리약국
4th row효정약국
5th row감초온누리약국
ValueCountFrequency (%)
약국 136
 
2.8%
동물약국 30
 
0.6%
하나약국 24
 
0.5%
중앙약국 23
 
0.5%
온누리 19
 
0.4%
푸른약국 18
 
0.4%
우리약국 16
 
0.3%
태평양약국 16
 
0.3%
미소약국 16
 
0.3%
우리들약국 16
 
0.3%
Other values (2758) 4477
93.4%
2023-12-11T06:46:28.220745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 4464
 
18.5%
국 4437
 
18.4%
리 646
 
2.7%
온 472
 
2.0%
누 439
 
1.8%
동 340
 
1.4%
325
 
1.3%
한 219
 
0.9%
물 214
 
0.9%
사 205
 
0.8%
Other values (512) 12394
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23497
97.3%
Space Separator 325
 
1.3%
Decimal Number 277
 
1.1%
Lowercase Letter 16
 
0.1%
Uppercase Letter 16
 
0.1%
Other Punctuation 8
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 4464
 
19.0%
국 4437
 
18.9%
리 646
 
2.7%
온 472
 
2.0%
누 439
 
1.9%
동 340
 
1.4%
한 219
 
0.9%
물 214
 
0.9%
사 205
 
0.9%
정 192
 
0.8%
Other values (472) 11869
50.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
12.5%
T 2
12.5%
J 2
12.5%
U 1
 
6.2%
G 1
 
6.2%
L 1
 
6.2%
D 1
 
6.2%
H 1
 
6.2%
E 1
 
6.2%
R 1
 
6.2%
Other values (3) 3
18.8%
Lowercase Letter
ValueCountFrequency (%)
e 7
43.8%
h 1
 
6.2%
p 1
 
6.2%
m 1
 
6.2%
a 1
 
6.2%
s 1
 
6.2%
c 1
 
6.2%
r 1
 
6.2%
o 1
 
6.2%
t 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
3 71
25.6%
5 64
23.1%
6 61
22.0%
1 31
11.2%
2 27
 
9.7%
0 14
 
5.1%
4 7
 
2.5%
7 1
 
0.4%
9 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
· 2
25.0%
& 1
 
12.5%
; 1
 
12.5%
Space Separator
ValueCountFrequency (%)
325
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23497
97.3%
Common 626
 
2.6%
Latin 32
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 4464
 
19.0%
국 4437
 
18.9%
리 646
 
2.7%
온 472
 
2.0%
누 439
 
1.9%
동 340
 
1.4%
한 219
 
0.9%
물 214
 
0.9%
사 205
 
0.9%
정 192
 
0.8%
Other values (472) 11869
50.5%
Latin
ValueCountFrequency (%)
e 7
21.9%
C 2
 
6.2%
T 2
 
6.2%
J 2
 
6.2%
U 1
 
3.1%
h 1
 
3.1%
G 1
 
3.1%
L 1
 
3.1%
D 1
 
3.1%
H 1
 
3.1%
Other values (13) 13
40.6%
Common
ValueCountFrequency (%)
325
51.9%
3 71
 
11.3%
5 64
 
10.2%
6 61
 
9.7%
1 31
 
5.0%
2 27
 
4.3%
0 14
 
2.2%
4 7
 
1.1%
) 6
 
1.0%
( 6
 
1.0%
Other values (7) 14
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23497
97.3%
ASCII 656
 
2.7%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 4464
 
19.0%
국 4437
 
18.9%
리 646
 
2.7%
온 472
 
2.0%
누 439
 
1.9%
동 340
 
1.4%
한 219
 
0.9%
물 214
 
0.9%
사 205
 
0.9%
정 192
 
0.8%
Other values (472) 11869
50.5%
ASCII
ValueCountFrequency (%)
325
49.5%
3 71
 
10.8%
5 64
 
9.8%
6 61
 
9.3%
1 31
 
4.7%
2 27
 
4.1%
0 14
 
2.1%
e 7
 
1.1%
4 7
 
1.1%
) 6
 
0.9%
Other values (29) 43
 
6.6%
None
ValueCountFrequency (%)
· 2
100.0%

인허가일자
Date

Distinct2083
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Memory size35.0 KiB
Minimum1973-12-18 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:46:28.360724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:46:28.494972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4466
Missing (%)100.0%
Memory size39.4 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.0 KiB
0
3162 
2
1284 
4
 
18
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3162
70.8%
2 1284
28.8%
4 18
 
0.4%
1 2
 
< 0.1%

Length

2023-12-11T06:46:28.616701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:46:28.729194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3162
70.8%
2 1284
28.8%
4 18
 
0.4%
1 2
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.0 KiB
정상
3162 
폐업
1284 
말소
 
18
휴업
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row말소
2nd row말소
3rd row말소
4th row정상
5th row정상

Common Values

ValueCountFrequency (%)
정상 3162
70.8%
폐업 1284
28.8%
말소 18
 
0.4%
휴업 2
 
< 0.1%

Length

2023-12-11T06:46:28.847809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:46:29.157969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 3162
70.8%
폐업 1284
28.8%
말소 18
 
0.4%
휴업 2
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1018
Distinct (%)79.9%
Missing3192
Missing (%)71.5%
Memory size35.0 KiB
Minimum2003-08-28 00:00:00
Maximum2023-11-30 00:00:00
2023-12-11T06:46:29.274416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:46:29.402316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct2578
Distinct (%)93.0%
Missing1693
Missing (%)37.9%
Memory size35.0 KiB
2023-12-11T06:46:29.644938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length11.077533
Min length4

Characters and Unicode

Total characters30718
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2398 ?
Unique (%)86.5%

Sample

1st row0315825661
2nd row581-8362
3rd row582-6904
4th row031-585-7639
5th row5851008
ValueCountFrequency (%)
031-575-7571 3
 
0.1%
031-441-4111 3
 
0.1%
031-733-3321 3
 
0.1%
02-3418-6464 3
 
0.1%
031-376-4569 3
 
0.1%
031-879-7821 3
 
0.1%
031-499-2218 3
 
0.1%
031-572-8116 3
 
0.1%
031-732-0456 3
 
0.1%
02-895-2835 3
 
0.1%
Other values (2570) 2747
98.9%
2023-12-11T06:46:30.003911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4425
14.4%
0 4046
13.2%
3 4008
13.0%
1 3785
12.3%
2 2452
8.0%
7 2336
7.6%
5 2159
7.0%
6 1948
6.3%
8 1921
6.3%
4 1854
6.0%
Other values (4) 1784
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26277
85.5%
Dash Punctuation 4425
 
14.4%
Close Punctuation 9
 
< 0.1%
Space Separator 4
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4046
15.4%
3 4008
15.3%
1 3785
14.4%
2 2452
9.3%
7 2336
8.9%
5 2159
8.2%
6 1948
7.4%
8 1921
7.3%
4 1854
7.1%
9 1768
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 4425
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30718
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4425
14.4%
0 4046
13.2%
3 4008
13.0%
1 3785
12.3%
2 2452
8.0%
7 2336
7.6%
5 2159
7.0%
6 1948
6.3%
8 1921
6.3%
4 1854
6.0%
Other values (4) 1784
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30718
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4425
14.4%
0 4046
13.2%
3 4008
13.0%
1 3785
12.3%
2 2452
8.0%
7 2336
7.6%
5 2159
7.0%
6 1948
6.3%
8 1921
6.3%
4 1854
6.0%
Other values (4) 1784
5.8%

소재지면적정보
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct361
Distinct (%)24.1%
Missing2970
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean164.42356
Minimum0
Maximum94603
Zeros1030
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size39.4 KiB
2023-12-11T06:46:30.122280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q332.175
95-th percentile120.5
Maximum94603
Range94603
Interquartile range (IQR)32.175

Descriptive statistics

Standard deviation3317.7966
Coefficient of variation (CV)20.178353
Kurtosis741.43242
Mean164.42356
Median Absolute Deviation (MAD)0
Skewness27.131412
Sum245977.64
Variance11007774
MonotonicityNot monotonic
2023-12-11T06:46:30.231872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1030
 
23.1%
10.0 14
 
0.3%
40.0 7
 
0.2%
60.0 6
 
0.1%
35.0 5
 
0.1%
72.0 5
 
0.1%
56.0 5
 
0.1%
50.0 5
 
0.1%
30.0 5
 
0.1%
66.0 5
 
0.1%
Other values (351) 409
 
9.2%
(Missing) 2970
66.5%
ValueCountFrequency (%)
0.0 1030
23.1%
10.0 14
 
0.3%
11.5 1
 
< 0.1%
12.12 1
 
< 0.1%
12.5 2
 
< 0.1%
13.22 1
 
< 0.1%
13.6 1
 
< 0.1%
15.0 2
 
< 0.1%
15.18 1
 
< 0.1%
16.03 1
 
< 0.1%
ValueCountFrequency (%)
94603.0 1
< 0.1%
86192.0 1
< 0.1%
5741.0 1
< 0.1%
5297.38 1
< 0.1%
4629.0 1
< 0.1%
3306.06 1
< 0.1%
2923.92 1
< 0.1%
1972.0 1
< 0.1%
1281.35 1
< 0.1%
1211.44 1
< 0.1%

도로명우편번호
Text

MISSING 

Distinct1690
Distinct (%)40.9%
Missing334
Missing (%)7.5%
Memory size35.0 KiB
2023-12-11T06:46:30.523583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0053243
Min length5

Characters and Unicode

Total characters20682
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

Unique785 ?
Unique (%)19.0%

Sample

1st row12413
2nd row12420
3rd row12461
4th row12465
5th row12419
ValueCountFrequency (%)
12913 22
 
0.5%
12248 22
 
0.5%
10071 16
 
0.4%
14072 15
 
0.4%
14548 15
 
0.4%
13640 15
 
0.4%
11473 14
 
0.3%
10113 14
 
0.3%
10414 14
 
0.3%
14923 14
 
0.3%
Other values (1680) 3971
96.1%
2023-12-11T06:46:30.935210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5761
27.9%
4 2066
 
10.0%
0 1955
 
9.5%
5 1772
 
8.6%
6 1650
 
8.0%
3 1626
 
7.9%
2 1599
 
7.7%
8 1544
 
7.5%
7 1443
 
7.0%
9 1265
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20681
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5761
27.9%
4 2066
 
10.0%
0 1955
 
9.5%
5 1772
 
8.6%
6 1650
 
8.0%
3 1626
 
7.9%
2 1599
 
7.7%
8 1544
 
7.5%
7 1443
 
7.0%
9 1265
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20682
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5761
27.9%
4 2066
 
10.0%
0 1955
 
9.5%
5 1772
 
8.6%
6 1650
 
8.0%
3 1626
 
7.9%
2 1599
 
7.7%
8 1544
 
7.5%
7 1443
 
7.0%
9 1265
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20682
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5761
27.9%
4 2066
 
10.0%
0 1955
 
9.5%
5 1772
 
8.6%
6 1650
 
8.0%
3 1626
 
7.9%
2 1599
 
7.7%
8 1544
 
7.5%
7 1443
 
7.0%
9 1265
 
6.1%

소재지도로명주소
Text

Distinct4126
Distinct (%)93.2%
Missing38
Missing (%)0.9%
Memory size35.0 KiB
2023-12-11T06:46:31.195769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length51
Mean length32.083785
Min length14

Characters and Unicode

Total characters142067
Distinct characters585
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3850 ?
Unique (%)86.9%

Sample

1st row경기도 가평군 가평읍 가화로 155-19, 우림약국
2nd row경기도 가평군 가평읍 가화로 47 (대곡리)
3rd row경기도 가평군 가평읍 가화로 55-12
4th row경기도 가평군 설악면 미사리로 267-181, 의료시설 1동 1층
5th row경기도 가평군 설악면 신천중앙로88번길 1, 온누리감초약국
ValueCountFrequency (%)
경기도 4425
 
14.6%
1층 969
 
3.2%
수원시 440
 
1.5%
성남시 378
 
1.2%
고양시 360
 
1.2%
부천시 344
 
1.1%
용인시 294
 
1.0%
화성시 271
 
0.9%
남양주시 240
 
0.8%
안산시 221
 
0.7%
Other values (5346) 22327
73.8%
2023-12-11T06:46:31.583453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25862
 
18.2%
1 6752
 
4.8%
동 4899
 
3.4%
시 4760
 
3.4%
경 4653
 
3.3%
기 4648
 
3.3%
도 4600
 
3.2%
로 4353
 
3.1%
) 3973
 
2.8%
( 3973
 
2.8%
Other values (575) 73594
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80633
56.8%
Space Separator 25862
 
18.2%
Decimal Number 22603
 
15.9%
Close Punctuation 3973
 
2.8%
Open Punctuation 3973
 
2.8%
Other Punctuation 3880
 
2.7%
Dash Punctuation 545
 
0.4%
Uppercase Letter 449
 
0.3%
Lowercase Letter 113
 
0.1%
Math Symbol 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4899
 
6.1%
시 4760
 
5.9%
경 4653
 
5.8%
기 4648
 
5.8%
도 4600
 
5.7%
로 4353
 
5.4%
호 2417
 
3.0%
구 2062
 
2.6%
양 1402
 
1.7%
층 1224
 
1.5%
Other values (508) 45615
56.6%
Uppercase Letter
ValueCountFrequency (%)
B 80
17.8%
A 69
15.4%
C 40
 
8.9%
S 35
 
7.8%
E 20
 
4.5%
I 19
 
4.2%
T 18
 
4.0%
L 17
 
3.8%
M 17
 
3.8%
K 16
 
3.6%
Other values (15) 118
26.3%
Lowercase Letter
ValueCountFrequency (%)
e 42
37.2%
a 9
 
8.0%
r 9
 
8.0%
n 7
 
6.2%
c 6
 
5.3%
t 5
 
4.4%
o 5
 
4.4%
m 4
 
3.5%
k 4
 
3.5%
i 3
 
2.7%
Other values (8) 19
16.8%
Decimal Number
ValueCountFrequency (%)
1 6752
29.9%
0 2996
13.3%
2 2866
12.7%
3 2101
 
9.3%
4 1623
 
7.2%
5 1415
 
6.3%
7 1263
 
5.6%
6 1253
 
5.5%
8 1248
 
5.5%
9 1086
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 3861
99.5%
. 15
 
0.4%
/ 2
 
0.1%
& 1
 
< 0.1%
' 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 4
40.0%
Ⅱ 4
40.0%
Ⅲ 1
 
10.0%
Ⅳ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
25862
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3973
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3973
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 545
100.0%
Math Symbol
ValueCountFrequency (%)
~ 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80633
56.8%
Common 60862
42.8%
Latin 572
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4899
 
6.1%
시 4760
 
5.9%
경 4653
 
5.8%
기 4648
 
5.8%
도 4600
 
5.7%
로 4353
 
5.4%
호 2417
 
3.0%
구 2062
 
2.6%
양 1402
 
1.7%
층 1224
 
1.5%
Other values (508) 45615
56.6%
Latin
ValueCountFrequency (%)
B 80
 
14.0%
A 69
 
12.1%
e 42
 
7.3%
C 40
 
7.0%
S 35
 
6.1%
E 20
 
3.5%
I 19
 
3.3%
T 18
 
3.1%
L 17
 
3.0%
M 17
 
3.0%
Other values (37) 215
37.6%
Common
ValueCountFrequency (%)
25862
42.5%
1 6752
 
11.1%
) 3973
 
6.5%
( 3973
 
6.5%
, 3861
 
6.3%
0 2996
 
4.9%
2 2866
 
4.7%
3 2101
 
3.5%
4 1623
 
2.7%
5 1415
 
2.3%
Other values (10) 5440
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80633
56.8%
ASCII 61424
43.2%
Number Forms 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25862
42.1%
1 6752
 
11.0%
) 3973
 
6.5%
( 3973
 
6.5%
, 3861
 
6.3%
0 2996
 
4.9%
2 2866
 
4.7%
3 2101
 
3.4%
4 1623
 
2.6%
5 1415
 
2.3%
Other values (53) 6002
 
9.8%
Hangul
ValueCountFrequency (%)
동 4899
 
6.1%
시 4760
 
5.9%
경 4653
 
5.8%
기 4648
 
5.8%
도 4600
 
5.7%
로 4353
 
5.4%
호 2417
 
3.0%
구 2062
 
2.6%
양 1402
 
1.7%
층 1224
 
1.5%
Other values (508) 45615
56.6%
Number Forms
ValueCountFrequency (%)
Ⅰ 4
40.0%
Ⅱ 4
40.0%
Ⅲ 1
 
10.0%
Ⅳ 1
 
10.0%

소재지지번주소
Text

Distinct4097
Distinct (%)91.8%
Missing5
Missing (%)0.1%
Memory size35.0 KiB
2023-12-11T06:46:31.903422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length47
Mean length25.259583
Min length11

Characters and Unicode

Total characters112683
Distinct characters553
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3773 ?
Unique (%)84.6%

Sample

1st row경기도 가평군 가평읍 읍내리 624-13 우림약국
2nd row경기도 가평군 가평읍 대곡리 189-3번지
3rd row경기도 가평군 가평읍 대곡리 166-1번지
4th row경기도 가평군 설악면 송산리 426-26
5th row경기도 가평군 설악면 신천리 120-3번지 온누리감초약국
ValueCountFrequency (%)
경기도 4458
 
18.5%
수원시 441
 
1.8%
성남시 380
 
1.6%
고양시 369
 
1.5%
부천시 344
 
1.4%
용인시 300
 
1.2%
화성시 271
 
1.1%
남양주시 241
 
1.0%
안산시 222
 
0.9%
시흥시 188
 
0.8%
Other values (5977) 16922
70.1%
2023-12-11T06:46:32.360660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22213
19.7%
1 5145
 
4.6%
시 4694
 
4.2%
기 4619
 
4.1%
도 4570
 
4.1%
경 4513
 
4.0%
동 4475
 
4.0%
- 3226
 
2.9%
2 2425
 
2.2%
지 2236
 
2.0%
Other values (543) 54567
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64924
57.6%
Space Separator 22213
 
19.7%
Decimal Number 21666
 
19.2%
Dash Punctuation 3226
 
2.9%
Uppercase Letter 351
 
0.3%
Lowercase Letter 111
 
0.1%
Other Punctuation 104
 
0.1%
Open Punctuation 35
 
< 0.1%
Close Punctuation 35
 
< 0.1%
Letter Number 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4694
 
7.2%
기 4619
 
7.1%
도 4570
 
7.0%
경 4513
 
7.0%
동 4475
 
6.9%
지 2236
 
3.4%
구 2041
 
3.1%
번 1892
 
2.9%
양 1335
 
2.1%
호 1218
 
1.9%
Other values (476) 33331
51.3%
Uppercase Letter
ValueCountFrequency (%)
A 46
13.1%
B 41
 
11.7%
C 34
 
9.7%
S 27
 
7.7%
E 20
 
5.7%
L 19
 
5.4%
I 18
 
5.1%
T 17
 
4.8%
M 12
 
3.4%
G 12
 
3.4%
Other values (14) 105
29.9%
Lowercase Letter
ValueCountFrequency (%)
e 40
36.0%
r 9
 
8.1%
a 8
 
7.2%
c 8
 
7.2%
n 7
 
6.3%
t 6
 
5.4%
o 5
 
4.5%
k 4
 
3.6%
l 3
 
2.7%
m 3
 
2.7%
Other values (9) 18
16.2%
Decimal Number
ValueCountFrequency (%)
1 5145
23.7%
2 2425
11.2%
0 2226
10.3%
3 2112
9.7%
4 1918
 
8.9%
5 1789
 
8.3%
6 1695
 
7.8%
7 1567
 
7.2%
8 1470
 
6.8%
9 1319
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 90
86.5%
. 11
 
10.6%
/ 1
 
1.0%
' 1
 
1.0%
& 1
 
1.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
36.4%
Ⅰ 4
36.4%
Ⅲ 2
18.2%
Ⅳ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
22213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3226
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64924
57.6%
Common 47286
42.0%
Latin 473
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4694
 
7.2%
기 4619
 
7.1%
도 4570
 
7.0%
경 4513
 
7.0%
동 4475
 
6.9%
지 2236
 
3.4%
구 2041
 
3.1%
번 1892
 
2.9%
양 1335
 
2.1%
호 1218
 
1.9%
Other values (476) 33331
51.3%
Latin
ValueCountFrequency (%)
A 46
 
9.7%
B 41
 
8.7%
e 40
 
8.5%
C 34
 
7.2%
S 27
 
5.7%
E 20
 
4.2%
L 19
 
4.0%
I 18
 
3.8%
T 17
 
3.6%
M 12
 
2.5%
Other values (37) 199
42.1%
Common
ValueCountFrequency (%)
22213
47.0%
1 5145
 
10.9%
- 3226
 
6.8%
2 2425
 
5.1%
0 2226
 
4.7%
3 2112
 
4.5%
4 1918
 
4.1%
5 1789
 
3.8%
6 1695
 
3.6%
7 1567
 
3.3%
Other values (10) 2970
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64924
57.6%
ASCII 47748
42.4%
Number Forms 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22213
46.5%
1 5145
 
10.8%
- 3226
 
6.8%
2 2425
 
5.1%
0 2226
 
4.7%
3 2112
 
4.4%
4 1918
 
4.0%
5 1789
 
3.7%
6 1695
 
3.5%
7 1567
 
3.3%
Other values (53) 3432
 
7.2%
Hangul
ValueCountFrequency (%)
시 4694
 
7.2%
기 4619
 
7.1%
도 4570
 
7.0%
경 4513
 
7.0%
동 4475
 
6.9%
지 2236
 
3.4%
구 2041
 
3.1%
번 1892
 
2.9%
양 1335
 
2.1%
호 1218
 
1.9%
Other values (476) 33331
51.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
36.4%
Ⅰ 4
36.4%
Ⅲ 2
18.2%
Ⅳ 1
 
9.1%

소재지우편번호
Real number (ℝ)

Distinct1755
Distinct (%)39.5%
Missing25
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean14297.519
Minimum1076
Maximum54639
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.4 KiB
2023-12-11T06:46:32.483650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1076
5-th percentile10304
Q112149
median14419
Q316509
95-th percentile18352
Maximum54639
Range53563
Interquartile range (IQR)4360

Descriptive statistics

Standard deviation2613.1033
Coefficient of variation (CV)0.18276621
Kurtosis11.615346
Mean14297.519
Median Absolute Deviation (MAD)2171
Skewness0.75246737
Sum63495281
Variance6828308.8
MonotonicityNot monotonic
2023-12-11T06:46:32.605448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12913 22
 
0.5%
12248 22
 
0.5%
10414 19
 
0.4%
10071 16
 
0.4%
10386 16
 
0.4%
14548 15
 
0.3%
14072 15
 
0.3%
13640 15
 
0.3%
10113 14
 
0.3%
10381 14
 
0.3%
Other values (1745) 4273
95.7%
(Missing) 25
 
0.6%
ValueCountFrequency (%)
1076 1
 
< 0.1%
7713 1
 
< 0.1%
10011 4
0.1%
10016 1
 
< 0.1%
10018 1
 
< 0.1%
10019 3
 
0.1%
10024 3
 
0.1%
10031 2
 
< 0.1%
10040 1
 
< 0.1%
10059 8
0.2%
ValueCountFrequency (%)
54639 1
 
< 0.1%
18617 1
 
< 0.1%
18616 3
 
0.1%
18611 9
0.2%
18606 2
 
< 0.1%
18603 1
 
< 0.1%
18600 5
0.1%
18598 3
 
0.1%
18594 1
 
< 0.1%
18593 1
 
< 0.1%

WGS84위도
Real number (ℝ)

Distinct3677
Distinct (%)82.5%
Missing7
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean37.432363
Minimum35.957263
Maximum38.13344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.4 KiB
2023-12-11T06:46:32.729907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.957263
5-th percentile37.114212
Q137.287854
median37.404624
Q337.612388
95-th percentile37.749676
Maximum38.13344
Range2.1761771
Interquartile range (IQR)0.3245342

Descriptive statistics

Standard deviation0.20266889
Coefficient of variation (CV)0.0054142691
Kurtosis0.091335818
Mean37.432363
Median Absolute Deviation (MAD)0.13498412
Skewness-0.0086358923
Sum166910.91
Variance0.041074678
MonotonicityNot monotonic
2023-12-11T06:46:32.845623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5641109151 6
 
0.1%
37.2681702029 5
 
0.1%
37.6085576 5
 
0.1%
37.5668146897 5
 
0.1%
37.2696395308 5
 
0.1%
37.4629064 4
 
0.1%
37.6701848 4
 
0.1%
37.4257832336 4
 
0.1%
37.5195665 4
 
0.1%
37.5052029115 4
 
0.1%
Other values (3667) 4413
98.8%
(Missing) 7
 
0.2%
ValueCountFrequency (%)
35.9572629055 1
< 0.1%
36.9451096864 1
< 0.1%
36.957859111 1
< 0.1%
36.9584777 1
< 0.1%
36.9608455198 1
< 0.1%
36.9611007482 1
< 0.1%
36.9611928 2
< 0.1%
36.9631882 1
< 0.1%
36.9632453036 1
< 0.1%
36.9644052069 1
< 0.1%
ValueCountFrequency (%)
38.13344 1
< 0.1%
38.0908758389 1
< 0.1%
38.0904627858 1
< 0.1%
38.0267324 2
< 0.1%
38.0261883179 1
< 0.1%
38.0242629295 1
< 0.1%
37.9582650182 1
< 0.1%
37.9573838 1
< 0.1%
37.9573299 1
< 0.1%
37.9566912255 1
< 0.1%

WGS84경도
Real number (ℝ)

Distinct3678
Distinct (%)82.5%
Missing7
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean126.99363
Minimum126.55571
Maximum127.75348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.4 KiB
2023-12-11T06:46:32.962403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55571
5-th percentile126.7296
Q1126.8221
median127.02122
Q3127.11814
95-th percentile127.26762
Maximum127.75348
Range1.1977716
Interquartile range (IQR)0.29604095

Descriptive statistics

Standard deviation0.18507862
Coefficient of variation (CV)0.0014573851
Kurtosis0.20874805
Mean126.99363
Median Absolute Deviation (MAD)0.13222255
Skewness0.35219506
Sum566264.59
Variance0.034254096
MonotonicityNot monotonic
2023-12-11T06:46:33.079028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1939802632 6
 
0.1%
127.1586149 5
 
0.1%
127.0003323008 5
 
0.1%
127.1512899398 5
 
0.1%
127.1904136102 5
 
0.1%
127.0092247016 4
 
0.1%
126.8639958 4
 
0.1%
126.6268872 4
 
0.1%
126.8052251351 4
 
0.1%
126.7524263231 4
 
0.1%
Other values (3668) 4413
98.8%
(Missing) 7
 
0.2%
ValueCountFrequency (%)
126.555707 3
0.1%
126.5825615 1
 
< 0.1%
126.5843538 1
 
< 0.1%
126.5843682181 1
 
< 0.1%
126.5852081212 2
< 0.1%
126.5856595 2
< 0.1%
126.5976057487 1
 
< 0.1%
126.5978623 1
 
< 0.1%
126.5981167495 2
< 0.1%
126.5987730066 1
 
< 0.1%
ValueCountFrequency (%)
127.7534786 1
< 0.1%
127.7384227 1
< 0.1%
127.6803053266 1
< 0.1%
127.6735995 1
< 0.1%
127.6545406444 1
< 0.1%
127.6408072 1
< 0.1%
127.6372475 1
< 0.1%
127.6371426827 1
< 0.1%
127.6367012349 1
< 0.1%
127.6362504 1
< 0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4466
Missing (%)100.0%
Memory size39.4 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct3281
Distinct (%)78.9%
Missing310
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean199268.66
Minimum160761.38
Maximum266638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.4 KiB
2023-12-11T06:46:33.189568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160761.38
5-th percentile175875.78
Q1183969.55
median201461
Q3210144.39
95-th percentile223993.28
Maximum266638
Range105876.62
Interquartile range (IQR)26174.84

Descriptive statistics

Standard deviation16477.374
Coefficient of variation (CV)0.082689242
Kurtosis0.20615336
Mean199268.66
Median Absolute Deviation (MAD)11888.761
Skewness0.37923665
Sum8.2816054 × 108
Variance2.7150387 × 108
MonotonicityNot monotonic
2023-12-11T06:46:33.300975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
212588.0 8
 
0.2%
178929.113234693 7
 
0.2%
216753.071849967 6
 
0.1%
186145.745189507 6
 
0.1%
193762.113508023 5
 
0.1%
199271.515 5
 
0.1%
213941.17051 5
 
0.1%
221470.398259335 5
 
0.1%
199958.094060052 5
 
0.1%
175381.452836361 5
 
0.1%
Other values (3271) 4099
91.8%
(Missing) 310
 
6.9%
ValueCountFrequency (%)
160761.383622355 1
< 0.1%
163053.681845678 2
< 0.1%
163097.816360144 1
< 0.1%
163129.803916163 2
< 0.1%
163169.203720528 2
< 0.1%
164446.767685534 1
< 0.1%
164466.752054693 1
< 0.1%
164485.625368065 2
< 0.1%
164541.282886023 1
< 0.1%
164571.726615912 1
< 0.1%
ValueCountFrequency (%)
266638.0 1
< 0.1%
260225.323035777 1
< 0.1%
259469.557501985 1
< 0.1%
257974.082845431 1
< 0.1%
256753.84707574 1
< 0.1%
256436.458635152 1
< 0.1%
256427.571752 1
< 0.1%
256424.143938024 1
< 0.1%
256380.893470461 1
< 0.1%
256380.401868 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct3279
Distinct (%)78.9%
Missing310
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean436711.5
Minimum272964.12
Maximum560834.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.4 KiB
2023-12-11T06:46:33.404930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum272964.12
5-th percentile400988.91
Q1420798.48
median433460.48
Q3456669.02
95-th percentile472010.43
Maximum560834.91
Range287870.79
Interquartile range (IQR)35870.536

Descriptive statistics

Standard deviation22728.036
Coefficient of variation (CV)0.052043595
Kurtosis0.48779484
Mean436711.5
Median Absolute Deviation (MAD)14695.844
Skewness0.077840186
Sum1.814973 × 109
Variance5.1656364 × 108
MonotonicityNot monotonic
2023-12-11T06:46:33.511168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441082.0 8
 
0.2%
463124.445219153 7
 
0.2%
451631.467982946 6
 
0.1%
424981.662518793 6
 
0.1%
436077.66 5
 
0.1%
472152.229 5
 
0.1%
418466.093851956 5
 
0.1%
428578.706486929 5
 
0.1%
456267.182533 5
 
0.1%
455603.356848613 5
 
0.1%
Other values (3269) 4099
91.8%
(Missing) 310
 
6.9%
ValueCountFrequency (%)
272964.12153 1
< 0.1%
382615.660763868 1
< 0.1%
384033.328074996 1
< 0.1%
384135.661886494 1
< 0.1%
384363.528773526 1
< 0.1%
384392.485889433 1
< 0.1%
384411.265019583 2
< 0.1%
384632.013088977 2
< 0.1%
384761.626644329 1
< 0.1%
384828.251135978 2
< 0.1%
ValueCountFrequency (%)
560834.907896845 2
< 0.1%
514518.677965953 1
< 0.1%
509818.222042129 1
< 0.1%
509771.047525516 1
< 0.1%
502677.228219041 2
< 0.1%
502601.701418297 1
< 0.1%
502388.791016208 1
< 0.1%
495108.668192407 1
< 0.1%
495014.393858902 2
< 0.1%
494942.703364275 1
< 0.1%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.0 KiB
동물약국
4466 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물약국 4466
100.0%

Length

2023-12-11T06:46:33.612206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:46:33.691017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물약국 4466
100.0%

축산고유번호
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.0 KiB
<NA>
2912 
0
1554 

Length

Max length4
Median length4
Mean length2.9561129
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2912
65.2%
0 1554
34.8%

Length

2023-12-11T06:46:33.845469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:46:33.937616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2912
65.2%
0 1554
34.8%

권리주체일련번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.0 KiB
000
4456 
F00
 
9
010
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row000
2nd row000
3rd row000
4th row000
5th row000

Common Values

ValueCountFrequency (%)
000 4456
99.8%
F00 9
 
0.2%
010 1
 
< 0.1%

Length

2023-12-11T06:46:34.020398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:46:34.108015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 4456
99.8%
f00 9
 
0.2%
010 1
 
< 0.1%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값축산업무구분명축산고유번호권리주체일련번호
0가평군우림약국20180419<NA>4말소<NA>031582566151.112413경기도 가평군 가평읍 가화로 155-19, 우림약국경기도 가평군 가평읍 읍내리 624-13 우림약국1241337.832952127.510603<NA>244879.168855481274.867898동물약국0000
1가평군연인산약국20070628<NA>4말소<NA>581-836249.5<NA>경기도 가평군 가평읍 가화로 47 (대곡리)경기도 가평군 가평읍 대곡리 189-3번지1242037.82401127.515412<NA>245315.499532480294.928192동물약국<NA>000
2가평군이화온누리약국20120229<NA>4말소<NA>582-69040.012420경기도 가평군 가평읍 가화로 55-12경기도 가평군 가평읍 대곡리 166-1번지1242037.82485127.514941<NA>245272.399228480386.602338동물약국<NA>000
3가평군효정약국2020-08-11<NA>0정상<NA>031-585-763937.812461경기도 가평군 설악면 미사리로 267-181, 의료시설 1동 1층경기도 가평군 설악면 송산리 426-261246137.690451127.521879<NA>245952.466952465457.655429동물약국0000
4가평군감초온누리약국20180406<NA>0정상<NA>5851008339.5112465경기도 가평군 설악면 신천중앙로88번길 1, 온누리감초약국경기도 가평군 설악면 신천리 120-3번지 온누리감초약국1246537.676806127.493756<NA>243492.440675463945.36548동물약국<NA>000
5가평군메디칼약국20220420<NA>0정상<NA><NA><NA>12419경기도 가평군 가평읍 장터3길 10경기도 가평군 가평읍 읍내리 407-41241937.830392127.514693<NA>245244.816196480997.630245동물약국0000
6가평군행복한온누리약국20220502<NA>0정상<NA><NA><NA>12452경기도 가평군 청평면 청평중앙로 52경기도 가평군 청평면 청평리 432-101245237.737917127.420315<NA>236973.844223470681.788125동물약국0000
7가평군서울프라자약국20220822<NA>0정상<NA>031-585-1007<NA>12437경기도 가평군 조종면 현창로38번길 5-1경기도 가평군 조종면 현리 265-101243737.818777127.348602<NA>230623.296776479636.268232동물약국0000
8가평군가평중앙약국20180905<NA>0정상<NA>031-581-7522183.612418경기도 가평군 가평읍 연인1길 1, 임내과의원경기도 가평군 가평읍 읍내리 476-7 임내과의원1241837.829355127.513682<NA>245099.657914481009.247467동물약국<NA>000
9가평군대성약국20180626<NA>0정상<NA>584-1050246.6912465경기도 가평군 설악면 신천중앙로 118, 삼성의원경기도 가평군 설악면 신천리 435-14번지 삼성의원1246537.677972127.490885<NA>243240.309093464072.327501동물약국<NA>000
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값축산업무구분명축산고유번호권리주체일련번호
4456화성시가까운온누리약국20190327<NA>2폐업20190926<NA>0.018616경기도 화성시 향남읍 상신하길로 66, 드림시티빌딩 102호경기도 화성시 향남읍 상신리 1327-41861637.100504126.896642<NA>190745.369659399866.594564동물약국<NA>000
4457화성시수프라자약국20220317<NA>2폐업20220822031-702-3965<NA>18501경기도 화성시 동탄대로6길 13, 수프라자 103호 (산척동)경기도 화성시 산척동 727-3 수프라자1850137.168737127.108129<NA><NA><NA>동물약국0000
4458화성시해든약국2020-07-28<NA>2폐업2022-12-28031-366-5031<NA>18600경기도 화성시 향남읍 발안로 116, 중앙프라자경기도 화성시 향남읍 행정리 487-3 중앙프라자1860037.131031126.922901<NA>193077.539529403250.135859동물약국0000
4459화성시백제약국20211007<NA>2폐업20211117<NA><NA>18360경기도 화성시 용주로 12(송산동)경기도 화성시 송산동 100-591836037.205595127.015497<NA>201303.987048411527.420904동물약국0000
4460화성시영생약국20220620<NA>2폐업20221031<NA><NA>18362경기도 화성시 효행로763번길 15(안녕동)경기도 화성시 안녕동 37-61836237.204525127.013824<NA>201157.16126411405.218568동물약국0000
4461화성시허브약국2021-04-27<NA>2폐업2023-04-30<NA><NA>18466경기도 화성시 동탄순환대로 696, 경서프라자 102호 (영천동)경기도 화성시 영천동 681-51846637.206976127.111245<NA>209807.273345411682.379087동물약국0000
4462화성시동탄호수약국2021-06-09<NA>2폐업2022-07-01<NA><NA>18501경기도 화성시 동탄대로 198, 드림타워 113호 (산척동)경기도 화성시 산척동 717-11850137.172132127.107301<NA>209459.840879407815.731954동물약국0000
4463<NA>건강사랑약국20130904<NA>0정상<NA><NA>0.054639전라북도 익산시 무왕로20길 17 (어양동, 부영아파트)전라북도 익산시 어양동 652-1 부영아파트5463935.957263126.980486<NA>198206.800412272964.12153동물약국<NA>000
4464<NA>동양당한약국20130823<NA>2폐업20180615<NA>0.001076서울특별시 강북구 노해로17길 21 (수유동, 1층 8호)서울특별시 강북구 수유동 32-2번지107637.640274127.02127<NA>201812.904685459775.99283동물약국<NA>000
4465<NA>우리약국20130927<NA>2폐업20160115<NA>0.0<NA>서울특별시 강서구 화곡로21길 32 (화곡동)서울특별시 강서구 화곡동 1048-8번지771337.542141126.836741<NA>185506.943512448897.632629동물약국<NA>000

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값축산업무구분명축산고유번호권리주체일련번호# duplicates
0고양시바로약국201309022폐업<NA><NA><NA>10359경기도 고양시 일산동구 일산로 451 (정발산동)경기도 고양시 일산동구 정발산동 1146번지 신풍프라자 103호1035937.673457126.7766180225.549892463485.770042동물약국<NA>0002
1연천군메디팜원무약국201703020정상<NA>031-833-3578<NA>11020경기도 연천군 청산면 궁평로 42경기도 연천군 청산면 궁평리 474-2번지1102038.026732127.108221209439.135263502677.228219동물약국<NA>0002