Overview

Dataset statistics

Number of variables6
Number of observations702
Missing cells68
Missing cells (%)1.6%
Duplicate rows15
Duplicate rows (%)2.1%
Total size in memory34.4 KiB
Average record size in memory50.2 B

Variable types

Text3
Categorical1
Numeric2

Dataset

Description한국도자재단 경기도 요장 현황
Author한국도자재단
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=4H9LGHM849RLIZ7AR90A30288857&infSeq=1

Alerts

Dataset has 15 (2.1%) duplicate rowsDuplicates
경도 is highly overall correlated with 시군명High correlation
위도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 has 34 (4.8%) missing valuesMissing
위도 has 34 (4.8%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:30:28.532051
Analysis finished2023-12-10 22:30:29.707140
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

요장명
Text

Distinct651
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-12-11T07:30:29.877594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length5.039886
Min length1

Characters and Unicode

Total characters3538
Distinct characters412
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique605 ?
Unique (%)86.2%

Sample

1st row진영환경도자
2nd row화악산방
3rd row창무도예연구원
4th row창조도예
5th row천화세라믹
ValueCountFrequency (%)
도예공방 16
 
2.0%
공방 8
 
1.0%
studio 5
 
0.6%
송월요 4
 
0.5%
the 4
 
0.5%
ceramic 4
 
0.5%
연구소 4
 
0.5%
갤러리 3
 
0.4%
도예 3
 
0.4%
고려도자기 3
 
0.4%
Other values (679) 740
93.2%
2023-12-11T07:30:30.277258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 381
 
10.8%
예 260
 
7.3%
요 143
 
4.0%
방 132
 
3.7%
공 127
 
3.6%
92
 
2.6%
토 60
 
1.7%
자 58
 
1.6%
소 54
 
1.5%
기 50
 
1.4%
Other values (402) 2181
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3132
88.5%
Lowercase Letter 178
 
5.0%
Space Separator 92
 
2.6%
Uppercase Letter 61
 
1.7%
Close Punctuation 24
 
0.7%
Open Punctuation 23
 
0.7%
Decimal Number 17
 
0.5%
Other Punctuation 8
 
0.2%
Modifier Symbol 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 381
 
12.2%
예 260
 
8.3%
요 143
 
4.6%
방 132
 
4.2%
공 127
 
4.1%
토 60
 
1.9%
자 58
 
1.9%
소 54
 
1.7%
기 50
 
1.6%
구 49
 
1.6%
Other values (342) 1818
58.0%
Uppercase Letter
ValueCountFrequency (%)
O 7
11.5%
R 6
 
9.8%
S 5
 
8.2%
D 5
 
8.2%
A 4
 
6.6%
H 4
 
6.6%
C 4
 
6.6%
T 4
 
6.6%
L 3
 
4.9%
K 3
 
4.9%
Other values (11) 16
26.2%
Lowercase Letter
ValueCountFrequency (%)
a 21
11.8%
i 17
9.6%
t 16
 
9.0%
e 16
 
9.0%
o 14
 
7.9%
c 13
 
7.3%
r 12
 
6.7%
d 10
 
5.6%
m 10
 
5.6%
s 9
 
5.1%
Other values (10) 40
22.5%
Decimal Number
ValueCountFrequency (%)
5 5
29.4%
4 3
17.6%
2 3
17.6%
6 2
 
11.8%
1 2
 
11.8%
9 1
 
5.9%
3 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
& 4
50.0%
· 1
 
12.5%
, 1
 
12.5%
# 1
 
12.5%
; 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 23
95.8%
] 1
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 22
95.7%
[ 1
 
4.3%
Space Separator
ValueCountFrequency (%)
92
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3124
88.3%
Latin 239
 
6.8%
Common 167
 
4.7%
Han 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 381
 
12.2%
예 260
 
8.3%
요 143
 
4.6%
방 132
 
4.2%
공 127
 
4.1%
토 60
 
1.9%
자 58
 
1.9%
소 54
 
1.7%
기 50
 
1.6%
구 49
 
1.6%
Other values (334) 1810
57.9%
Latin
ValueCountFrequency (%)
a 21
 
8.8%
i 17
 
7.1%
t 16
 
6.7%
e 16
 
6.7%
o 14
 
5.9%
c 13
 
5.4%
r 12
 
5.0%
d 10
 
4.2%
m 10
 
4.2%
s 9
 
3.8%
Other values (31) 101
42.3%
Common
ValueCountFrequency (%)
92
55.1%
) 23
 
13.8%
( 22
 
13.2%
5 5
 
3.0%
& 4
 
2.4%
4 3
 
1.8%
2 3
 
1.8%
6 2
 
1.2%
` 2
 
1.2%
1 2
 
1.2%
Other values (9) 9
 
5.4%
Han
ValueCountFrequency (%)
華 1
12.5%
美 1
12.5%
光 1
12.5%
樂 1
12.5%
陶 1
12.5%
圖 1
12.5%
窯 1
12.5%
元 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3124
88.3%
ASCII 405
 
11.4%
CJK 7
 
0.2%
None 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 381
 
12.2%
예 260
 
8.3%
요 143
 
4.6%
방 132
 
4.2%
공 127
 
4.1%
토 60
 
1.9%
자 58
 
1.9%
소 54
 
1.7%
기 50
 
1.6%
구 49
 
1.6%
Other values (334) 1810
57.9%
ASCII
ValueCountFrequency (%)
92
22.7%
) 23
 
5.7%
( 22
 
5.4%
a 21
 
5.2%
i 17
 
4.2%
t 16
 
4.0%
e 16
 
4.0%
o 14
 
3.5%
c 13
 
3.2%
r 12
 
3.0%
Other values (49) 159
39.3%
CJK
ValueCountFrequency (%)
華 1
14.3%
美 1
14.3%
光 1
14.3%
陶 1
14.3%
圖 1
14.3%
窯 1
14.3%
元 1
14.3%
None
ValueCountFrequency (%)
· 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%

시군명
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
이천시
293 
여주시
169 
광주시
49 
고양시
 
27
용인시
 
22
Other values (25)
142 

Length

Max length4
Median length3
Mean length3.022792
Min length3

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
이천시 293
41.7%
여주시 169
24.1%
광주시 49
 
7.0%
고양시 27
 
3.8%
용인시 22
 
3.1%
양평군 12
 
1.7%
수원시 11
 
1.6%
안성시 11
 
1.6%
성남시 11
 
1.6%
남양주시 11
 
1.6%
Other values (20) 86
 
12.3%

Length

2023-12-11T07:30:30.433829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이천시 293
41.7%
여주시 169
24.1%
광주시 49
 
7.0%
고양시 27
 
3.8%
용인시 22
 
3.1%
양평군 12
 
1.7%
수원시 11
 
1.6%
안성시 11
 
1.6%
성남시 11
 
1.6%
남양주시 11
 
1.6%
Other values (20) 86
 
12.3%

주소
Text

Distinct667
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-12-11T07:30:30.695483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length45
Mean length25.096866
Min length15

Characters and Unicode

Total characters17618
Distinct characters363
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique634 ?
Unique (%)90.3%

Sample

1st row경기도 이천시 신둔면 도자예술로5번길 22,?진영환경도자
2nd row경기도 가평군 북면 화악리,?1083-1
3rd row경기도 여주시 여주읍 현암리,?206-1
4th row경기도 여주시 북내면 여강로 28,?
5th row경기도 여주시 여주읍 오금리,?252-4
ValueCountFrequency (%)
경기도 703
21.3%
이천시 295
 
8.9%
신둔면 205
 
6.2%
여주시 169
 
5.1%
광주시 49
 
1.5%
여주읍 46
 
1.4%
북내면 33
 
1.0%
고양시 27
 
0.8%
대신면 24
 
0.7%
용인시 23
 
0.7%
Other values (1165) 1725
52.3%
2023-12-11T07:30:31.114620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2597
 
14.7%
도 861
 
4.9%
기 743
 
4.2%
경 740
 
4.2%
시 695
 
3.9%
? 674
 
3.8%
, 654
 
3.7%
1 629
 
3.6%
2 483
 
2.7%
면 417
 
2.4%
Other values (353) 9125
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10072
57.2%
Decimal Number 3137
 
17.8%
Space Separator 2597
 
14.7%
Other Punctuation 1337
 
7.6%
Dash Punctuation 374
 
2.1%
Uppercase Letter 43
 
0.2%
Close Punctuation 28
 
0.2%
Open Punctuation 28
 
0.2%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 861
 
8.5%
기 743
 
7.4%
경 740
 
7.3%
시 695
 
6.9%
면 417
 
4.1%
천 350
 
3.5%
로 329
 
3.3%
이 325
 
3.2%
주 314
 
3.1%
리 309
 
3.1%
Other values (314) 4989
49.5%
Uppercase Letter
ValueCountFrequency (%)
B 11
25.6%
I 4
 
9.3%
O 4
 
9.3%
A 4
 
9.3%
N 2
 
4.7%
C 2
 
4.7%
D 2
 
4.7%
R 2
 
4.7%
S 2
 
4.7%
L 2
 
4.7%
Other values (8) 8
18.6%
Decimal Number
ValueCountFrequency (%)
1 629
20.1%
2 483
15.4%
3 393
12.5%
5 287
9.1%
4 267
8.5%
6 242
 
7.7%
7 224
 
7.1%
9 222
 
7.1%
0 218
 
6.9%
8 172
 
5.5%
Other Punctuation
ValueCountFrequency (%)
? 674
50.4%
, 654
48.9%
. 5
 
0.4%
" 2
 
0.1%
/ 1
 
0.1%
; 1
 
0.1%
Space Separator
ValueCountFrequency (%)
2597
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 374
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10069
57.2%
Common 7501
42.6%
Latin 45
 
0.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 861
 
8.6%
기 743
 
7.4%
경 740
 
7.3%
시 695
 
6.9%
면 417
 
4.1%
천 350
 
3.5%
로 329
 
3.3%
이 325
 
3.2%
주 314
 
3.1%
리 309
 
3.1%
Other values (311) 4986
49.5%
Common
ValueCountFrequency (%)
2597
34.6%
? 674
 
9.0%
, 654
 
8.7%
1 629
 
8.4%
2 483
 
6.4%
3 393
 
5.2%
- 374
 
5.0%
5 287
 
3.8%
4 267
 
3.6%
6 242
 
3.2%
Other values (10) 901
 
12.0%
Latin
ValueCountFrequency (%)
B 11
24.4%
I 4
 
8.9%
O 4
 
8.9%
A 4
 
8.9%
N 2
 
4.4%
C 2
 
4.4%
D 2
 
4.4%
R 2
 
4.4%
b 2
 
4.4%
S 2
 
4.4%
Other values (9) 10
22.2%
Han
ValueCountFrequency (%)
土 1
33.3%
愛 1
33.3%
窯 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10069
57.2%
ASCII 7546
42.8%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2597
34.4%
? 674
 
8.9%
, 654
 
8.7%
1 629
 
8.3%
2 483
 
6.4%
3 393
 
5.2%
- 374
 
5.0%
5 287
 
3.8%
4 267
 
3.5%
6 242
 
3.2%
Other values (29) 946
 
12.5%
Hangul
ValueCountFrequency (%)
도 861
 
8.6%
기 743
 
7.4%
경 740
 
7.3%
시 695
 
6.9%
면 417
 
4.1%
천 350
 
3.5%
로 329
 
3.3%
이 325
 
3.2%
주 314
 
3.1%
리 309
 
3.1%
Other values (311) 4986
49.5%
CJK
ValueCountFrequency (%)
土 1
33.3%
愛 1
33.3%
窯 1
33.3%

전화번호정보
Text

Distinct454
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-12-11T07:30:31.345907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.196581
Min length1

Characters and Unicode

Total characters8562
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique419 ?
Unique (%)59.7%

Sample

1st row031-704-8890
2nd row031-581-3033
3rd row031-885-7070
4th row031-885-7386
5th row031-881-5949
ValueCountFrequency (%)
218
31.1%
031-633-0358 3
 
0.4%
031-634-5100 3
 
0.4%
031-632-0960 2
 
0.3%
031-638-0160 2
 
0.3%
031-672-0859 2
 
0.3%
031-634-0576 2
 
0.3%
031-884-7481 2
 
0.3%
031-884-7918 2
 
0.3%
031-978-9976 2
 
0.3%
Other values (441) 464
66.1%
2023-12-11T07:30:31.709389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2309
27.0%
- 1403
16.4%
3 908
 
10.6%
0 760
 
8.9%
1 722
 
8.4%
8 543
 
6.3%
6 481
 
5.6%
7 349
 
4.1%
5 295
 
3.4%
4 293
 
3.4%
Other values (2) 499
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4850
56.6%
Other Punctuation 2309
27.0%
Dash Punctuation 1403
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 908
18.7%
0 760
15.7%
1 722
14.9%
8 543
11.2%
6 481
9.9%
7 349
 
7.2%
5 295
 
6.1%
4 293
 
6.0%
2 278
 
5.7%
9 221
 
4.6%
Other Punctuation
ValueCountFrequency (%)
* 2309
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1403
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8562
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 2309
27.0%
- 1403
16.4%
3 908
 
10.6%
0 760
 
8.9%
1 722
 
8.4%
8 543
 
6.3%
6 481
 
5.6%
7 349
 
4.1%
5 295
 
3.4%
4 293
 
3.4%
Other values (2) 499
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8562
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2309
27.0%
- 1403
16.4%
3 908
 
10.6%
0 760
 
8.9%
1 722
 
8.4%
8 543
 
6.3%
6 481
 
5.6%
7 349
 
4.1%
5 295
 
3.4%
4 293
 
3.4%
Other values (2) 499
 
5.8%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct592
Distinct (%)88.6%
Missing34
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean127.35865
Minimum126.53971
Maximum127.74649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-12-11T07:30:31.902737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53971
5-th percentile126.81929
Q1127.28835
median127.4021
Q3127.51683
95-th percentile127.68306
Maximum127.74649
Range1.2067804
Interquartile range (IQR)0.22848

Descriptive statistics

Standard deviation0.25351447
Coefficient of variation (CV)0.0019905556
Kurtosis0.33388089
Mean127.35865
Median Absolute Deviation (MAD)0.11473232
Skewness-0.93660949
Sum85075.577
Variance0.064269586
MonotonicityNot monotonic
2023-12-11T07:30:32.086128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3974614734 5
 
0.7%
127.4099166424 4
 
0.6%
127.4028098534 3
 
0.4%
127.6571149912 3
 
0.4%
127.4116893148 3
 
0.4%
127.4434209766 3
 
0.4%
127.4282166016 3
 
0.4%
127.4106094067 3
 
0.4%
127.4109926475 3
 
0.4%
127.6345350659 3
 
0.4%
Other values (582) 635
90.5%
(Missing) 34
 
4.8%
ValueCountFrequency (%)
126.5397052615 1
0.1%
126.5835722826 1
0.1%
126.6183969731 1
0.1%
126.6731069486 1
0.1%
126.6874242102 1
0.1%
126.6909169135 1
0.1%
126.6913051123 1
0.1%
126.6984310404 1
0.1%
126.7039361836 1
0.1%
126.7102350711 1
0.1%
ValueCountFrequency (%)
127.7464856498 1
0.1%
127.742304788 1
0.1%
127.7142626105 2
0.3%
127.7139576248 1
0.1%
127.7137984473 1
0.1%
127.7136730901 2
0.3%
127.7104960047 2
0.3%
127.7100422401 1
0.1%
127.7014502364 1
0.1%
127.7004233211 1
0.1%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct592
Distinct (%)88.6%
Missing34
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean37.352156
Minimum36.921094
Maximum37.974048
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-12-11T07:30:32.237653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.921094
5-th percentile37.180081
Q137.295127
median37.313148
Q337.356387
95-th percentile37.68277
Maximum37.974048
Range1.0529538
Interquartile range (IQR)0.061259812

Descriptive statistics

Standard deviation0.1462236
Coefficient of variation (CV)0.0039147297
Kurtosis3.5120836
Mean37.352156
Median Absolute Deviation (MAD)0.021633823
Skewness1.5260421
Sum24951.24
Variance0.02138134
MonotonicityNot monotonic
2023-12-11T07:30:32.386652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3208573689 5
 
0.7%
37.3157656155 4
 
0.6%
37.2518147212 3
 
0.4%
37.3019673576 3
 
0.4%
37.2957830008 3
 
0.4%
37.3351573181 3
 
0.4%
37.3098199097 3
 
0.4%
37.2930419408 3
 
0.4%
37.293348705 3
 
0.4%
37.3899167162 3
 
0.4%
Other values (582) 635
90.5%
(Missing) 34
 
4.8%
ValueCountFrequency (%)
36.9210944464 1
0.1%
36.9629404936 1
0.1%
36.9989225174 1
0.1%
37.0038221804 1
0.1%
37.0091194479 2
0.3%
37.0142996972 1
0.1%
37.0185571939 1
0.1%
37.0346243298 1
0.1%
37.0462259168 1
0.1%
37.0495432581 1
0.1%
ValueCountFrequency (%)
37.974048288 1
0.1%
37.9729626066 1
0.1%
37.9600415426 1
0.1%
37.9304099248 1
0.1%
37.8849774702 1
0.1%
37.8530993926 1
0.1%
37.8475417784 1
0.1%
37.8161473654 1
0.1%
37.8098041501 1
0.1%
37.8022187188 1
0.1%

Interactions

2023-12-11T07:30:29.214047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:30:29.019868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:30:29.316899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:30:29.123586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:30:32.474947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명경도위도
시군명1.0000.9410.937
경도0.9411.0000.720
위도0.9370.7201.000
2023-12-11T07:30:32.568971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도시군명
경도1.000-0.1810.698
위도-0.1811.0000.686
시군명0.6980.6861.000

Missing values

2023-12-11T07:30:29.454350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:30:29.561897image/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.
2023-12-11T07:30:29.658435image/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

요장명시군명주소전화번호정보경도위도
0진영환경도자이천시경기도 이천시 신둔면 도자예술로5번길 22,?진영환경도자031-704-8890127.38971237.294719
1화악산방가평군경기도 가평군 북면 화악리,?1083-1031-581-3033127.52595737.974048
2창무도예연구원여주시경기도 여주시 여주읍 현암리,?206-1031-885-7070127.64184137.304465
3창조도예여주시경기도 여주시 북내면 여강로 28,?031-885-7386127.68362337.302867
4천화세라믹여주시경기도 여주시 여주읍 오금리,?252-4031-881-5949127.64841737.331463
5철마도예이천시경기도 이천시 신둔면 남정2리,?031-637-3358<NA><NA>
6청강도예여주시경기도 여주시 여양로 399 (오학동),?***-****-****127.64578237.317549
7청농도예이천시경기도 이천시 대월면 대대리,?187-2031-632-6052127.48284437.221954
8청야도요이천시경기도 이천시 백사면 청백리로394번길 21,?청야도요***-****-****127.5010537.314376
9청일도예여주시경기도 여주시 여주읍,?138-3031-884-0788<NA><NA>
요장명시군명주소전화번호정보경도위도
692신라도예안산시경기도 안산시 단원구 선부광장남로 113 (선부동, 주공12단지아파트),?1201-1512(군자 주공 12단지)***-****-****126.81347537.329655
693신창희도요이천시경기도 이천시 신둔면 용면리,?472-3031-638-0160127.37275937.298542
694송림도예여주시경기도 여주시 어영실로 110-5,?031-885-7078127.6552737.310073
695심스 [Shims]이천시경기도 이천시 신둔면 남정1리,?297-2031-641-7418127.40991737.315766
696진우도요이천시경기도 이천시 신둔면 남정리,?121-20031-634-2440127.41617337.312318
697쎄라코리아이천시경기도 이천시 신둔면 남정2리,?121-25***-****-****127.4163237.311984
698씨엔디팩토리여주시경기도 여주시 여양로 210-30,?중앙파크타운 110동 102호070-4117-2004127.65163137.302155
699아리라이천시경기도 이천시 신둔면 남정1리,?220-1031-632-1038127.40894437.317387
700유성요이천시경기도 이천시 사음동 544-9031-674-8007127.41188237.29526
701아줄레주남양주시경기도 남양주시 와부읍 월문리,?700031-521-7626127.24467737.60975

Duplicate rows

Most frequently occurring

요장명시군명주소전화번호정보경도위도# duplicates
0가람휘여주시경기도 여주시 여주읍 천송리,?331-6031-886-0940127.65711537.3019672
1고려도자기여주시경기도 여주시 북내면 운촌1길 51,?고려도자기031-886-9622127.71426337.3321832
2고암요이천시경기도 이천시 사음동 497번지031-633-0358127.41060937.2930422
3도야공방의왕시경기도 의왕시 초평동 375-23031-461-3532126.94283837.3120552
4미리내가마안성시경기도 안성시 양성면 미산리,?729-3031-672-0859127.25068137.1152852
5미산요이천시경기도 이천시 마장면 중부대로644번길 87,?031-638-8654127.4028137.2518152
6설월도예연구소광주시경기도 광주시 초월읍,?지월3리 769-8031-762-0439127.2848537.4255012
7오름오르다이천시경기도 이천시 신둔면 마소로 77,?오름오르다031-638-1888127.395537.3031072
8용우도예방여주시경기도 여주시 북내면 도예로 323,?용우도예방031-886-0425127.66611737.3212812
9운공방광주시경기도 광주시 실촌읍 삼합리,?41-3031-797-7193127.44468537.3818772