Overview

Dataset statistics

Number of variables16
Number of observations112
Missing cells383
Missing cells (%)21.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory131.2 B

Variable types

Text10
Numeric2
DateTime1
Categorical2
Boolean1

Dataset

Description공방사업자 현황
Author경기콘텐츠진흥원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=G9C333GFZYUFC4HYI0RY30753381&infSeq=1

Alerts

공개여부 has constant value ""Constant
콘텐츠주요분야 is highly imbalanced (55.8%)Imbalance
대표전화 has 83 (74.1%) missing valuesMissing
홈페이지주소 has 21 (18.8%) missing valuesMissing
SNS주소1 has 76 (67.9%) missing valuesMissing
SNS주소2 has 95 (84.8%) missing valuesMissing
SNS주소3 has 107 (95.5%) missing valuesMissing
회사명 has unique valuesUnique
기업소개 has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:06:06.008013
Analysis finished2023-12-10 21:06:07.970854
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T06:06:08.155588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.1785714
Min length2

Characters and Unicode

Total characters692
Distinct characters255
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)100.0%

Sample

1st row멍냥멍냥 공방
2nd row모두의오늘
3rd row모멜레
4th row목화꽃섬유공방
5th row무아바이현철
ValueCountFrequency (%)
공방 4
 
3.0%
가죽공방 3
 
2.2%
꿈꾸는 2
 
1.5%
주식회사 2
 
1.5%
꿈블룸 1
 
0.7%
studio 1
 
0.7%
담다 1
 
0.7%
kongzum(콩줌 1
 
0.7%
greendiy(쟁이 1
 
0.7%
flowers 1
 
0.7%
Other values (118) 118
87.4%
2023-12-11T06:06:08.547291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
4.0%
28
 
4.0%
25
 
3.6%
23
 
3.3%
21
 
3.0%
19
 
2.7%
13
 
1.9%
11
 
1.6%
9
 
1.3%
9
 
1.3%
Other values (245) 506
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 594
85.8%
Lowercase Letter 48
 
6.9%
Space Separator 23
 
3.3%
Uppercase Letter 14
 
2.0%
Close Punctuation 6
 
0.9%
Open Punctuation 6
 
0.9%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
4.7%
28
 
4.7%
25
 
4.2%
21
 
3.5%
19
 
3.2%
13
 
2.2%
11
 
1.9%
9
 
1.5%
9
 
1.5%
9
 
1.5%
Other values (210) 422
71.0%
Lowercase Letter
ValueCountFrequency (%)
o 6
12.5%
l 5
 
10.4%
e 5
 
10.4%
i 4
 
8.3%
r 3
 
6.2%
w 3
 
6.2%
t 2
 
4.2%
a 2
 
4.2%
p 2
 
4.2%
g 2
 
4.2%
Other values (9) 14
29.2%
Uppercase Letter
ValueCountFrequency (%)
H 2
14.3%
G 2
14.3%
K 1
7.1%
O 1
7.1%
N 1
7.1%
Z 1
7.1%
U 1
7.1%
I 1
7.1%
M 1
7.1%
Y 1
7.1%
Other values (2) 2
14.3%
Space Separator
ValueCountFrequency (%)
23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 594
85.8%
Latin 62
 
9.0%
Common 36
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
4.7%
28
 
4.7%
25
 
4.2%
21
 
3.5%
19
 
3.2%
13
 
2.2%
11
 
1.9%
9
 
1.5%
9
 
1.5%
9
 
1.5%
Other values (210) 422
71.0%
Latin
ValueCountFrequency (%)
o 6
 
9.7%
l 5
 
8.1%
e 5
 
8.1%
i 4
 
6.5%
r 3
 
4.8%
w 3
 
4.8%
t 2
 
3.2%
H 2
 
3.2%
a 2
 
3.2%
p 2
 
3.2%
Other values (21) 28
45.2%
Common
ValueCountFrequency (%)
23
63.9%
) 6
 
16.7%
( 6
 
16.7%
/ 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 594
85.8%
ASCII 98
 
14.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
28
 
4.7%
28
 
4.7%
25
 
4.2%
21
 
3.5%
19
 
3.2%
13
 
2.2%
11
 
1.9%
9
 
1.5%
9
 
1.5%
9
 
1.5%
Other values (210) 422
71.0%
ASCII
ValueCountFrequency (%)
23
23.5%
) 6
 
6.1%
( 6
 
6.1%
o 6
 
6.1%
l 5
 
5.1%
e 5
 
5.1%
i 4
 
4.1%
r 3
 
3.1%
w 3
 
3.1%
t 2
 
2.0%
Other values (25) 35
35.7%

사업자등록번호
Real number (ℝ)

Distinct111
Distinct (%)100.0%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean3.9521493 × 109
Minimum2.0060003 × 108
Maximum8.9616009 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T06:06:08.716054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0060003 × 108
5-th percentile1.0860081 × 109
Q11.3263166 × 109
median2.8856003 × 109
Q36.5233506 × 109
95-th percentile8.5054003 × 109
Maximum8.9616009 × 109
Range8.7610009 × 109
Interquartile range (IQR)5.197034 × 109

Descriptive statistics

Standard deviation2.7135677 × 109
Coefficient of variation (CV)0.68660557
Kurtosis-1.3771717
Mean3.9521493 × 109
Median Absolute Deviation (MAD)1.7454046 × 109
Skewness0.42010988
Sum4.3868857 × 1011
Variance7.3634497 × 1018
MonotonicityNot monotonic
2023-12-11T06:06:08.863364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5927100101 1
 
0.9%
1304758832 1
 
0.9%
1101194683 1
 
0.9%
8295100188 1
 
0.9%
1322349255 1
 
0.9%
7381500773 1
 
0.9%
8945000297 1
 
0.9%
1020661979 1
 
0.9%
1051887307 1
 
0.9%
1223120810 1
 
0.9%
Other values (101) 101
90.2%
ValueCountFrequency (%)
200600028 1
0.9%
1011445141 1
0.9%
1020661979 1
0.9%
1021191308 1
0.9%
1051887307 1
0.9%
1070875074 1
0.9%
1101141186 1
0.9%
1101194683 1
0.9%
1101222323 1
0.9%
1112050905 1
0.9%
ValueCountFrequency (%)
8961600886 1
0.9%
8945000297 1
0.9%
8911200656 1
0.9%
8640600819 1
0.9%
8584400500 1
0.9%
8544400376 1
0.9%
8466400320 1
0.9%
8295100188 1
0.9%
8177000186 1
0.9%
7975000088 1
0.9%
Distinct108
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2004-05-27 00:00:00
Maximum2020-06-04 00:00:00
2023-12-11T06:06:09.017278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:09.361532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기업소개
Text

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T06:06:09.658334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length500
Median length135.5
Mean length135.70536
Min length6

Characters and Unicode

Total characters15199
Distinct characters702
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)100.0%

Sample

1st row라이펙트센터는 생명이 존중받는 사회를 만들기 위해 만들어진 소셜벤처입니다.다양한 분야에서 고통받는 생명들을 어떻게하면 가장 빠르고 효과적으로 도와줄 수 있는지 연구하는 회사입니다.
2nd row방향제 재료 마켓운영캔들 크래프트 강사카톡 “모두의오늘”전화문의 "032?666?0222"인스타 “ joys517 ”
3rd row강가죽 카톡 강가죽 (한글검색)인스타그램 kanggajuk
4th row미싱 기초부터 홈패션 홈웨어 여성복 남성복 아동복 애견옷 수선&리폼 수업이 있습니다.애견옷 주문제작 의상학과 졸업작품 등 패턴 및 샘플의상 제작가능공방에는 의상디자인을 전공한 두 명의 선생님이 있으며 모녀관계임을 미리 알려드립니다
5th row유튜브채널운영무주택자를 위한 아파트 바로알기 부동산 강의
ValueCountFrequency (%)
63
 
2.1%
32
 
1.1%
있는 23
 
0.8%
22
 
0.7%
20
 
0.7%
다양한 20
 
0.7%
있습니다 18
 
0.6%
제작 16
 
0.5%
통해 13
 
0.4%
만드는 12
 
0.4%
Other values (2105) 2807
92.2%
2023-12-11T06:06:10.198585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3324
 
21.9%
222
 
1.5%
207
 
1.4%
201
 
1.3%
201
 
1.3%
. 194
 
1.3%
180
 
1.2%
178
 
1.2%
166
 
1.1%
163
 
1.1%
Other values (692) 10163
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10448
68.7%
Space Separator 3325
 
21.9%
Lowercase Letter 444
 
2.9%
Other Punctuation 372
 
2.4%
Decimal Number 254
 
1.7%
Uppercase Letter 150
 
1.0%
Dash Punctuation 43
 
0.3%
Close Punctuation 42
 
0.3%
Open Punctuation 39
 
0.3%
Math Symbol 29
 
0.2%
Other values (5) 53
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
222
 
2.1%
207
 
2.0%
201
 
1.9%
201
 
1.9%
180
 
1.7%
178
 
1.7%
166
 
1.6%
163
 
1.6%
154
 
1.5%
149
 
1.4%
Other values (594) 8627
82.6%
Lowercase Letter
ValueCountFrequency (%)
e 49
 
11.0%
o 45
 
10.1%
c 35
 
7.9%
n 34
 
7.7%
a 33
 
7.4%
i 28
 
6.3%
s 23
 
5.2%
d 21
 
4.7%
m 21
 
4.7%
t 19
 
4.3%
Other values (16) 136
30.6%
Uppercase Letter
ValueCountFrequency (%)
D 17
 
11.3%
A 15
 
10.0%
C 15
 
10.0%
N 11
 
7.3%
S 10
 
6.7%
I 9
 
6.0%
O 7
 
4.7%
E 7
 
4.7%
T 7
 
4.7%
K 7
 
4.7%
Other values (12) 45
30.0%
Other Punctuation
ValueCountFrequency (%)
. 194
52.2%
/ 68
 
18.3%
: 29
 
7.8%
* 24
 
6.5%
? 14
 
3.8%
& 12
 
3.2%
# 11
 
3.0%
' 4
 
1.1%
% 4
 
1.1%
! 4
 
1.1%
Other values (4) 8
 
2.2%
Decimal Number
ValueCountFrequency (%)
0 78
30.7%
1 54
21.3%
2 37
14.6%
3 19
 
7.5%
5 15
 
5.9%
6 10
 
3.9%
7 10
 
3.9%
9 9
 
3.5%
4 6
 
2.4%
8 6
 
2.4%
Other values (4) 10
 
3.9%
Math Symbol
ValueCountFrequency (%)
~ 15
51.7%
> 5
 
17.2%
< 5
 
17.2%
2
 
6.9%
+ 2
 
6.9%
Other Symbol
ValueCountFrequency (%)
6
50.0%
4
33.3%
2
 
16.7%
Space Separator
ValueCountFrequency (%)
3324
> 99.9%
  1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 34
81.0%
] 8
 
19.0%
Open Punctuation
ValueCountFrequency (%)
( 31
79.5%
[ 8
 
20.5%
Modifier Symbol
ValueCountFrequency (%)
^ 18
94.7%
˘ 1
 
5.3%
Initial Punctuation
ValueCountFrequency (%)
6
75.0%
2
 
25.0%
Final Punctuation
ValueCountFrequency (%)
5
62.5%
3
37.5%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10447
68.7%
Common 4157
 
27.4%
Latin 594
 
3.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
222
 
2.1%
207
 
2.0%
201
 
1.9%
201
 
1.9%
180
 
1.7%
178
 
1.7%
166
 
1.6%
163
 
1.6%
154
 
1.5%
149
 
1.4%
Other values (593) 8626
82.6%
Common
ValueCountFrequency (%)
3324
80.0%
. 194
 
4.7%
0 78
 
1.9%
/ 68
 
1.6%
1 54
 
1.3%
- 43
 
1.0%
2 37
 
0.9%
) 34
 
0.8%
( 31
 
0.7%
: 29
 
0.7%
Other values (40) 265
 
6.4%
Latin
ValueCountFrequency (%)
e 49
 
8.2%
o 45
 
7.6%
c 35
 
5.9%
n 34
 
5.7%
a 33
 
5.6%
i 28
 
4.7%
s 23
 
3.9%
d 21
 
3.5%
m 21
 
3.5%
t 19
 
3.2%
Other values (38) 286
48.1%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10446
68.7%
ASCII 4703
30.9%
Punctuation 20
 
0.1%
None 13
 
0.1%
Misc Symbols 10
 
0.1%
Geometric Shapes 4
 
< 0.1%
CJK 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3324
70.7%
. 194
 
4.1%
0 78
 
1.7%
/ 68
 
1.4%
1 54
 
1.1%
e 49
 
1.0%
o 45
 
1.0%
- 43
 
0.9%
2 37
 
0.8%
c 35
 
0.7%
Other values (71) 776
 
16.5%
Hangul
ValueCountFrequency (%)
222
 
2.1%
207
 
2.0%
201
 
1.9%
201
 
1.9%
180
 
1.7%
178
 
1.7%
166
 
1.6%
163
 
1.6%
154
 
1.5%
149
 
1.4%
Other values (592) 8625
82.6%
Misc Symbols
ValueCountFrequency (%)
6
60.0%
4
40.0%
Punctuation
ValueCountFrequency (%)
6
30.0%
5
25.0%
3
15.0%
3
15.0%
2
 
10.0%
1
 
5.0%
None
ValueCountFrequency (%)
4
30.8%
3
23.1%
2
15.4%
2
15.4%
  1
 
7.7%
1
 
7.7%
Geometric Shapes
ValueCountFrequency (%)
2
50.0%
2
50.0%
CJK
ValueCountFrequency (%)
1
100.0%
Modifier Letters
ValueCountFrequency (%)
˘ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct107
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T06:06:10.517211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length56
Mean length31.178571
Min length2

Characters and Unicode

Total characters3492
Distinct characters473
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)92.0%

Sample

1st row악세사리
2nd row캔들
3rd row가죽공예
4th row홈패션 홈웨어 여성복 남성복 아동복 애견옷 수선&리폼 애견옷 주문제작 가능의상학과 졸업작품 등 패턴 및 샘플 제작
5th row유튜브채널: 무아바이현철동영상10개 이상 업로드구독자:400명
ValueCountFrequency (%)
20
 
2.7%
캔들 15
 
2.1%
14
 
1.9%
10
 
1.4%
제작 9
 
1.2%
소품 7
 
1.0%
핸드메이드 6
 
0.8%
플라워 6
 
0.8%
인테리어 5
 
0.7%
천연비누 5
 
0.7%
Other values (535) 633
86.7%
2023-12-11T06:06:11.025492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
775
 
22.2%
52
 
1.5%
46
 
1.3%
44
 
1.3%
41
 
1.2%
40
 
1.1%
40
 
1.1%
38
 
1.1%
34
 
1.0%
33
 
0.9%
Other values (463) 2349
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2388
68.4%
Space Separator 775
 
22.2%
Lowercase Letter 111
 
3.2%
Other Punctuation 69
 
2.0%
Decimal Number 48
 
1.4%
Uppercase Letter 40
 
1.1%
Open Punctuation 21
 
0.6%
Close Punctuation 16
 
0.5%
Dash Punctuation 9
 
0.3%
Other Symbol 5
 
0.1%
Other values (4) 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
52
 
2.2%
46
 
1.9%
44
 
1.8%
41
 
1.7%
40
 
1.7%
40
 
1.7%
38
 
1.6%
34
 
1.4%
33
 
1.4%
32
 
1.3%
Other values (397) 1988
83.2%
Lowercase Letter
ValueCountFrequency (%)
e 12
 
10.8%
t 10
 
9.0%
r 10
 
9.0%
o 8
 
7.2%
w 8
 
7.2%
a 8
 
7.2%
h 7
 
6.3%
n 7
 
6.3%
k 6
 
5.4%
c 5
 
4.5%
Other values (12) 30
27.0%
Uppercase Letter
ValueCountFrequency (%)
D 7
17.5%
I 5
12.5%
S 4
10.0%
C 4
10.0%
Y 4
10.0%
B 3
7.5%
P 2
 
5.0%
K 2
 
5.0%
A 2
 
5.0%
N 2
 
5.0%
Other values (5) 5
12.5%
Decimal Number
ValueCountFrequency (%)
0 15
31.2%
2 10
20.8%
1 10
20.8%
8 4
 
8.3%
3 3
 
6.2%
9 2
 
4.2%
7 2
 
4.2%
6 1
 
2.1%
4 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 24
34.8%
/ 23
33.3%
: 11
15.9%
· 5
 
7.2%
& 5
 
7.2%
% 1
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 1
33.3%
< 1
33.3%
> 1
33.3%
Other Symbol
ValueCountFrequency (%)
3
60.0%
2
40.0%
Final Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Initial Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
775
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2387
68.4%
Common 953
 
27.3%
Latin 151
 
4.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
52
 
2.2%
46
 
1.9%
44
 
1.8%
41
 
1.7%
40
 
1.7%
40
 
1.7%
38
 
1.6%
34
 
1.4%
33
 
1.4%
32
 
1.3%
Other values (396) 1987
83.2%
Latin
ValueCountFrequency (%)
e 12
 
7.9%
t 10
 
6.6%
r 10
 
6.6%
o 8
 
5.3%
w 8
 
5.3%
a 8
 
5.3%
D 7
 
4.6%
h 7
 
4.6%
n 7
 
4.6%
k 6
 
4.0%
Other values (27) 68
45.0%
Common
ValueCountFrequency (%)
775
81.3%
. 24
 
2.5%
/ 23
 
2.4%
( 21
 
2.2%
) 16
 
1.7%
0 15
 
1.6%
: 11
 
1.2%
2 10
 
1.0%
1 10
 
1.0%
- 9
 
0.9%
Other values (19) 39
 
4.1%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2387
68.4%
ASCII 1088
31.2%
Punctuation 6
 
0.2%
None 5
 
0.1%
Misc Symbols 3
 
0.1%
Geometric Shapes 2
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
775
71.2%
. 24
 
2.2%
/ 23
 
2.1%
( 21
 
1.9%
) 16
 
1.5%
0 15
 
1.4%
e 12
 
1.1%
: 11
 
1.0%
2 10
 
0.9%
t 10
 
0.9%
Other values (49) 171
 
15.7%
Hangul
ValueCountFrequency (%)
52
 
2.2%
46
 
1.9%
44
 
1.8%
41
 
1.7%
40
 
1.7%
40
 
1.7%
38
 
1.6%
34
 
1.4%
33
 
1.4%
32
 
1.3%
Other values (396) 1987
83.2%
None
ValueCountFrequency (%)
· 5
100.0%
Misc Symbols
ValueCountFrequency (%)
3
100.0%
Geometric Shapes
ValueCountFrequency (%)
2
100.0%
Punctuation
ValueCountFrequency (%)
2
33.3%
2
33.3%
1
16.7%
1
16.7%
CJK
ValueCountFrequency (%)
1
100.0%

우편번호
Real number (ℝ)

Distinct106
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13791.25
Minimum10049
Maximum18504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T06:06:11.203052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10049
5-th percentile10289.05
Q111650.75
median13776
Q316254
95-th percentile18203.35
Maximum18504
Range8455
Interquartile range (IQR)4603.25

Descriptive statistics

Standard deviation2568.4069
Coefficient of variation (CV)0.18623452
Kurtosis-1.18025
Mean13791.25
Median Absolute Deviation (MAD)2230
Skewness0.18751214
Sum1544620
Variance6596713.9
MonotonicityNot monotonic
2023-12-11T06:06:11.345753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16866 2
 
1.8%
16006 2
 
1.8%
11651 2
 
1.8%
14486 2
 
1.8%
15360 2
 
1.8%
11673 2
 
1.8%
13535 1
 
0.9%
16667 1
 
0.9%
10357 1
 
0.9%
15495 1
 
0.9%
Other values (96) 96
85.7%
ValueCountFrequency (%)
10049 1
0.9%
10201 1
0.9%
10213 1
0.9%
10229 1
0.9%
10241 1
0.9%
10261 1
0.9%
10312 1
0.9%
10349 1
0.9%
10357 1
0.9%
10383 1
0.9%
ValueCountFrequency (%)
18504 1
0.9%
18459 1
0.9%
18434 1
0.9%
18374 1
0.9%
18303 1
0.9%
18271 1
0.9%
18148 1
0.9%
18114 1
0.9%
17919 1
0.9%
17857 1
0.9%

주소
Text

Distinct109
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T06:06:11.645912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length32
Mean length24
Min length14

Characters and Unicode

Total characters2688
Distinct characters249
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)94.6%

Sample

1st row경기도 성남시 분당구 동판교로52번길 22-14
2nd row경기도 부천시 중동로 64 중동역푸르지오아파트
3rd row경기도 수원시 장안구 수성로245번길 18 정승빌딩
4th row경기도 안양시 동안구 관양동 1715-5
5th row경기도 고양시 일산서구 하이파크3로 111 하이파크시티일산파밀리에2단지
ValueCountFrequency (%)
경기도 112
 
18.8%
고양시 18
 
3.0%
수원시 16
 
2.7%
의정부시 11
 
1.8%
성남시 10
 
1.7%
장안구 9
 
1.5%
부천시 7
 
1.2%
안양시 7
 
1.2%
덕양구 7
 
1.2%
안산시 6
 
1.0%
Other values (305) 392
65.9%
2023-12-11T06:06:12.075127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
483
 
18.0%
118
 
4.4%
115
 
4.3%
114
 
4.2%
112
 
4.2%
1 103
 
3.8%
92
 
3.4%
66
 
2.5%
2 59
 
2.2%
5 49
 
1.8%
Other values (239) 1377
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1682
62.6%
Space Separator 483
 
18.0%
Decimal Number 440
 
16.4%
Dash Punctuation 32
 
1.2%
Uppercase Letter 28
 
1.0%
Lowercase Letter 17
 
0.6%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
118
 
7.0%
115
 
6.8%
114
 
6.8%
112
 
6.7%
92
 
5.5%
66
 
3.9%
42
 
2.5%
40
 
2.4%
38
 
2.3%
37
 
2.2%
Other values (202) 908
54.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
17.6%
i 2
11.8%
t 2
11.8%
m 2
11.8%
u 1
 
5.9%
p 1
 
5.9%
l 1
 
5.9%
a 1
 
5.9%
c 1
 
5.9%
s 1
 
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
1 103
23.4%
2 59
13.4%
5 49
11.1%
3 48
10.9%
4 39
 
8.9%
0 37
 
8.4%
7 34
 
7.7%
8 28
 
6.4%
6 26
 
5.9%
9 17
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
S 6
21.4%
I 6
21.4%
K 4
14.3%
T 3
10.7%
W 2
 
7.1%
Y 2
 
7.1%
V 2
 
7.1%
E 2
 
7.1%
F 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
: 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
483
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1682
62.6%
Common 961
35.8%
Latin 45
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
118
 
7.0%
115
 
6.8%
114
 
6.8%
112
 
6.7%
92
 
5.5%
66
 
3.9%
42
 
2.5%
40
 
2.4%
38
 
2.3%
37
 
2.2%
Other values (202) 908
54.0%
Latin
ValueCountFrequency (%)
S 6
13.3%
I 6
13.3%
K 4
 
8.9%
T 3
 
6.7%
e 3
 
6.7%
i 2
 
4.4%
t 2
 
4.4%
W 2
 
4.4%
Y 2
 
4.4%
V 2
 
4.4%
Other values (11) 13
28.9%
Common
ValueCountFrequency (%)
483
50.3%
1 103
 
10.7%
2 59
 
6.1%
5 49
 
5.1%
3 48
 
5.0%
4 39
 
4.1%
0 37
 
3.9%
7 34
 
3.5%
- 32
 
3.3%
8 28
 
2.9%
Other values (6) 49
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1682
62.6%
ASCII 1006
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
483
48.0%
1 103
 
10.2%
2 59
 
5.9%
5 49
 
4.9%
3 48
 
4.8%
4 39
 
3.9%
0 37
 
3.7%
7 34
 
3.4%
- 32
 
3.2%
8 28
 
2.8%
Other values (27) 94
 
9.3%
Hangul
ValueCountFrequency (%)
118
 
7.0%
115
 
6.8%
114
 
6.8%
112
 
6.7%
92
 
5.5%
66
 
3.9%
42
 
2.5%
40
 
2.4%
38
 
2.3%
37
 
2.2%
Other values (202) 908
54.0%
Distinct110
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T06:06:12.391897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length17
Mean length8.7678571
Min length1

Characters and Unicode

Total characters982
Distinct characters239
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)97.3%

Sample

1st row10층 라이펙트센터
2nd row모두의 오늘
3rd row1층 강가죽공방
4th row101호 목화꽃섬유공방
5th row209동1302호
ValueCountFrequency (%)
1층 23
 
10.5%
2층 7
 
3.2%
공방 6
 
2.7%
지하1층 4
 
1.8%
상가동 4
 
1.8%
101호 3
 
1.4%
지층 2
 
0.9%
102호 2
 
0.9%
10층 2
 
0.9%
11층 2
 
0.9%
Other values (157) 164
74.9%
2023-12-11T06:06:12.899630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
12.4%
1 78
 
7.9%
47
 
4.8%
0 45
 
4.6%
34
 
3.5%
2 28
 
2.9%
27
 
2.7%
27
 
2.7%
15
 
1.5%
3 15
 
1.5%
Other values (229) 544
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 621
63.2%
Decimal Number 207
 
21.1%
Space Separator 122
 
12.4%
Dash Punctuation 11
 
1.1%
Lowercase Letter 11
 
1.1%
Uppercase Letter 6
 
0.6%
Math Symbol 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
47
 
7.6%
34
 
5.5%
27
 
4.3%
27
 
4.3%
15
 
2.4%
14
 
2.3%
13
 
2.1%
13
 
2.1%
13
 
2.1%
9
 
1.4%
Other values (200) 409
65.9%
Decimal Number
ValueCountFrequency (%)
1 78
37.7%
0 45
21.7%
2 28
 
13.5%
3 15
 
7.2%
4 12
 
5.8%
5 10
 
4.8%
6 7
 
3.4%
9 5
 
2.4%
8 5
 
2.4%
7 2
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
o 3
27.3%
a 2
18.2%
d 1
 
9.1%
w 1
 
9.1%
b 1
 
9.1%
i 1
 
9.1%
g 1
 
9.1%
m 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
R 1
16.7%
F 1
16.7%
B 1
16.7%
E 1
16.7%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 621
63.2%
Common 344
35.0%
Latin 17
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
47
 
7.6%
34
 
5.5%
27
 
4.3%
27
 
4.3%
15
 
2.4%
14
 
2.3%
13
 
2.1%
13
 
2.1%
13
 
2.1%
9
 
1.4%
Other values (200) 409
65.9%
Common
ValueCountFrequency (%)
122
35.5%
1 78
22.7%
0 45
 
13.1%
2 28
 
8.1%
3 15
 
4.4%
4 12
 
3.5%
- 11
 
3.2%
5 10
 
2.9%
6 7
 
2.0%
9 5
 
1.5%
Other values (6) 11
 
3.2%
Latin
ValueCountFrequency (%)
o 3
17.6%
C 2
11.8%
a 2
11.8%
R 1
 
5.9%
d 1
 
5.9%
w 1
 
5.9%
b 1
 
5.9%
i 1
 
5.9%
g 1
 
5.9%
F 1
 
5.9%
Other values (3) 3
17.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 621
63.2%
ASCII 361
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
33.8%
1 78
21.6%
0 45
 
12.5%
2 28
 
7.8%
3 15
 
4.2%
4 12
 
3.3%
- 11
 
3.0%
5 10
 
2.8%
6 7
 
1.9%
9 5
 
1.4%
Other values (19) 28
 
7.8%
Hangul
ValueCountFrequency (%)
47
 
7.6%
34
 
5.5%
27
 
4.3%
27
 
4.3%
15
 
2.4%
14
 
2.3%
13
 
2.1%
13
 
2.1%
13
 
2.1%
9
 
1.4%
Other values (200) 409
65.9%

대표전화
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing83
Missing (%)74.1%
Memory size1.0 KiB
2023-12-11T06:06:13.133718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.137931
Min length9

Characters and Unicode

Total characters352
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

Unique29 ?
Unique (%)100.0%

Sample

1st row032-666-0222
2nd row031-759-0515
3rd row031-654-8630
4th row031-976-5994
5th row031-245-6245
ValueCountFrequency (%)
032-666-0222 1
 
3.4%
050-5300-0315 1
 
3.4%
031-978-3039 1
 
3.4%
070-8803-9223 1
 
3.4%
031-214-2659 1
 
3.4%
070-8064-3657 1
 
3.4%
031-403-0431 1
 
3.4%
031-466-1195 1
 
3.4%
070-8821-3350 1
 
3.4%
031-701-4570 1
 
3.4%
Other values (19) 19
65.5%
2023-12-11T06:06:13.553664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 62
17.6%
- 57
16.2%
3 37
10.5%
1 36
10.2%
6 31
8.8%
2 25
7.1%
5 24
 
6.8%
7 23
 
6.5%
9 20
 
5.7%
8 19
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 295
83.8%
Dash Punctuation 57
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 62
21.0%
3 37
12.5%
1 36
12.2%
6 31
10.5%
2 25
8.5%
5 24
 
8.1%
7 23
 
7.8%
9 20
 
6.8%
8 19
 
6.4%
4 18
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 352
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 62
17.6%
- 57
16.2%
3 37
10.5%
1 36
10.2%
6 31
8.8%
2 25
7.1%
5 24
 
6.8%
7 23
 
6.5%
9 20
 
5.7%
8 19
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 352
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 62
17.6%
- 57
16.2%
3 37
10.5%
1 36
10.2%
6 31
8.8%
2 25
7.1%
5 24
 
6.8%
7 23
 
6.5%
9 20
 
5.7%
8 19
 
5.4%

홈페이지주소
Text

MISSING 

Distinct91
Distinct (%)100.0%
Missing21
Missing (%)18.8%
Memory size1.0 KiB
2023-12-11T06:06:13.826983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length30.549451
Min length15

Characters and Unicode

Total characters2780
Distinct characters45
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)100.0%

Sample

1st rowhttp://mngb.co.kr/
2nd rowhttp://joysproject.com/
3rd rowhttps://blog.naver.com/kanggajuk
4th rowhttps://blog.naver.com/tjdgus1984
5th rowhttps://miniaturedream.modoo.at/
ValueCountFrequency (%)
https://petstylish.blog.me 1
 
1.1%
https://www.gahyunart.com 1
 
1.1%
https://blog.naver.com/martinseon 1
 
1.1%
https://mogiwood.com 1
 
1.1%
https://blog.naver.com/paster0820 1
 
1.1%
https://greendiy.modoo.at 1
 
1.1%
https://gi5441.blog.me 1
 
1.1%
https://blog.naver.com/rudy_table 1
 
1.1%
https://rollerfactory.co.kr/index.html 1
 
1.1%
http://blog.naver.com/rosari_um 1
 
1.1%
Other values (81) 81
89.0%
2023-12-11T06:06:14.266073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 271
 
9.7%
t 252
 
9.1%
o 223
 
8.0%
. 183
 
6.6%
e 146
 
5.3%
a 139
 
5.0%
m 132
 
4.7%
r 131
 
4.7%
s 122
 
4.4%
n 116
 
4.2%
Other values (35) 1065
38.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2120
76.3%
Other Punctuation 545
 
19.6%
Decimal Number 95
 
3.4%
Connector Punctuation 11
 
0.4%
Other Letter 5
 
0.2%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 252
 
11.9%
o 223
 
10.5%
e 146
 
6.9%
a 139
 
6.6%
m 132
 
6.2%
r 131
 
6.2%
s 122
 
5.8%
n 116
 
5.5%
h 114
 
5.4%
p 109
 
5.1%
Other values (15) 636
30.0%
Decimal Number
ValueCountFrequency (%)
0 22
23.2%
2 17
17.9%
4 10
10.5%
1 10
10.5%
8 9
9.5%
5 8
 
8.4%
7 7
 
7.4%
3 6
 
6.3%
9 4
 
4.2%
6 2
 
2.1%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 271
49.7%
. 183
33.6%
: 91
 
16.7%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2120
76.3%
Common 655
 
23.6%
Hangul 5
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 252
 
11.9%
o 223
 
10.5%
e 146
 
6.9%
a 139
 
6.6%
m 132
 
6.2%
r 131
 
6.2%
s 122
 
5.8%
n 116
 
5.5%
h 114
 
5.4%
p 109
 
5.1%
Other values (15) 636
30.0%
Common
ValueCountFrequency (%)
/ 271
41.4%
. 183
27.9%
: 91
 
13.9%
0 22
 
3.4%
2 17
 
2.6%
_ 11
 
1.7%
4 10
 
1.5%
1 10
 
1.5%
8 9
 
1.4%
5 8
 
1.2%
Other values (5) 23
 
3.5%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2775
99.8%
Hangul 5
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 271
 
9.8%
t 252
 
9.1%
o 223
 
8.0%
. 183
 
6.6%
e 146
 
5.3%
a 139
 
5.0%
m 132
 
4.8%
r 131
 
4.7%
s 122
 
4.4%
n 116
 
4.2%
Other values (30) 1060
38.2%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct9
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
48 
목공
14 
패션
11 
도예
10 
기타
Other values (4)
20 

Length

Max length4
Median length2
Mean length2.8571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
42.9%
목공 14
 
12.5%
패션 11
 
9.8%
도예 10
 
8.9%
기타 9
 
8.0%
생활 9
 
8.0%
가죽 6
 
5.4%
푸드 3
 
2.7%
금속 2
 
1.8%

Length

2023-12-11T06:06:14.493007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:06:14.649144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
42.9%
목공 14
 
12.5%
패션 11
 
9.8%
도예 10
 
8.9%
기타 9
 
8.0%
생활 9
 
8.0%
가죽 6
 
5.4%
푸드 3
 
2.7%
금속 2
 
1.8%

콘텐츠주요분야
Categorical

IMBALANCE 

Distinct11
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
78 
기타
21 
지식정보 기타
 
3
지식정보
 
2
콘텐츠솔루션
 
2
Other values (6)
 
6

Length

Max length16
Median length4
Mean length3.9642857
Min length2

Unique

Unique6 ?
Unique (%)5.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 78
69.6%
기타 21
 
18.8%
지식정보 기타 3
 
2.7%
지식정보 2
 
1.8%
콘텐츠솔루션 2
 
1.8%
출판 광고 1
 
0.9%
애니메이션 방송 광고 지식정보 1
 
0.9%
캐릭터 지식정보 1
 
0.9%
지식정보 콘텐츠솔루션 1
 
0.9%
캐릭터 기타 1
 
0.9%

Length

2023-12-11T06:06:14.837109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 78
63.9%
기타 25
 
20.5%
지식정보 8
 
6.6%
콘텐츠솔루션 3
 
2.5%
캐릭터 3
 
2.5%
광고 2
 
1.6%
출판 1
 
0.8%
애니메이션 1
 
0.8%
방송 1
 
0.8%

SNS주소1
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing76
Missing (%)67.9%
Memory size1.0 KiB
2023-12-11T06:06:15.071381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length29.861111
Min length9

Characters and Unicode

Total characters1075
Distinct characters53
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st rowhttps://blog.naver.com/wbear77
2nd rowhttps://blog.naver.com/wktmals1035
3rd rowInstagram : coffee_and_crafts_
4th rowhttps://blog.naver.com/evetea
5th rowwww.instagram/toivocycles
ValueCountFrequency (%)
3
 
7.0%
인스타 2
 
4.7%
https://www.instagram.com/studio.zuyo 1
 
2.3%
https://blog.naver.com/martinseon 1
 
2.3%
https://blog.naver.com/candle_ral 1
 
2.3%
https://open.kakao.com/o/sx9xyjb 1
 
2.3%
blog.naver.com/catms1004 1
 
2.3%
blog.naver.com/chan0713 1
 
2.3%
https://www.instagram.com/hanjiyun9061 1
 
2.3%
https://www.gahyunart.com 1
 
2.3%
Other values (30) 30
69.8%
2023-12-11T06:06:15.431756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 83
 
7.7%
t 81
 
7.5%
o 71
 
6.6%
a 69
 
6.4%
. 58
 
5.4%
m 57
 
5.3%
s 54
 
5.0%
e 52
 
4.8%
n 48
 
4.5%
r 47
 
4.4%
Other values (43) 455
42.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 826
76.8%
Other Punctuation 172
 
16.0%
Decimal Number 37
 
3.4%
Connector Punctuation 16
 
1.5%
Other Letter 11
 
1.0%
Space Separator 7
 
0.7%
Uppercase Letter 4
 
0.4%
Dash Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 81
 
9.8%
o 71
 
8.6%
a 69
 
8.4%
m 57
 
6.9%
s 54
 
6.5%
e 52
 
6.3%
n 48
 
5.8%
r 47
 
5.7%
w 46
 
5.6%
c 41
 
5.0%
Other values (15) 260
31.5%
Decimal Number
ValueCountFrequency (%)
0 11
29.7%
1 6
16.2%
7 6
16.2%
2 3
 
8.1%
3 3
 
8.1%
6 2
 
5.4%
9 2
 
5.4%
8 2
 
5.4%
4 1
 
2.7%
5 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
/ 83
48.3%
. 58
33.7%
: 27
 
15.7%
@ 3
 
1.7%
? 1
 
0.6%
Other Letter
ValueCountFrequency (%)
3
27.3%
3
27.3%
3
27.3%
1
 
9.1%
1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
Y 1
25.0%
I 1
25.0%
X 1
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 830
77.2%
Common 234
 
21.8%
Hangul 11
 
1.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 81
 
9.8%
o 71
 
8.6%
a 69
 
8.3%
m 57
 
6.9%
s 54
 
6.5%
e 52
 
6.3%
n 48
 
5.8%
r 47
 
5.7%
w 46
 
5.5%
c 41
 
4.9%
Other values (19) 264
31.8%
Common
ValueCountFrequency (%)
/ 83
35.5%
. 58
24.8%
: 27
 
11.5%
_ 16
 
6.8%
0 11
 
4.7%
7
 
3.0%
1 6
 
2.6%
7 6
 
2.6%
2 3
 
1.3%
3 3
 
1.3%
Other values (9) 14
 
6.0%
Hangul
ValueCountFrequency (%)
3
27.3%
3
27.3%
3
27.3%
1
 
9.1%
1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1064
99.0%
Hangul 11
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 83
 
7.8%
t 81
 
7.6%
o 71
 
6.7%
a 69
 
6.5%
. 58
 
5.5%
m 57
 
5.4%
s 54
 
5.1%
e 52
 
4.9%
n 48
 
4.5%
r 47
 
4.4%
Other values (38) 444
41.7%
Hangul
ValueCountFrequency (%)
3
27.3%
3
27.3%
3
27.3%
1
 
9.1%
1
 
9.1%

SNS주소2
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing95
Missing (%)84.8%
Memory size1.0 KiB
2023-12-11T06:06:15.631646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length35
Mean length34.235294
Min length19

Characters and Unicode

Total characters582
Distinct characters67
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

Unique17 ?
Unique (%)100.0%

Sample

1st rowhttps://www.instagram.com/basil0306/
2nd row@ceramic_craftfactory
3rd row인스타그램: @wai_atelier
4th rowinstargram.com/thetablestudio
5th rowhttp://instagram.com/thebom_atelier
ValueCountFrequency (%)
https://www.instagram.com/basil0306 1
 
5.6%
ceramic_craftfactory 1
 
5.6%
https://blog.naver.com/mubi23 1
 
5.6%
https://blog.naver.com/gahyunart 1
 
5.6%
https://www.youtube.com/channel/ucgaijqrca9epjjhykvyj05q 1
 
5.6%
www.instagram.com/woodstudio_mogi 1
 
5.6%
www.instagram.com/chomyoungsuk78 1
 
5.6%
https://www.instagram.com/rudytable 1
 
5.6%
https://www.instagram.com/martin_leather 1
 
5.6%
https://www.youtube.com/channel/ucgkkqbt24cu6ofr821-wdoa 1
 
5.6%
Other values (8) 8
44.4%
2023-12-11T06:06:15.972992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 48
 
8.2%
/ 45
 
7.7%
a 39
 
6.7%
o 38
 
6.5%
w 31
 
5.3%
m 30
 
5.2%
. 28
 
4.8%
s 23
 
4.0%
n 23
 
4.0%
c 23
 
4.0%
Other values (57) 254
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 430
73.9%
Other Punctuation 88
 
15.1%
Uppercase Letter 25
 
4.3%
Decimal Number 21
 
3.6%
Other Letter 10
 
1.7%
Connector Punctuation 6
 
1.0%
Dash Punctuation 1
 
0.2%
Space Separator 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 48
 
11.2%
a 39
 
9.1%
o 38
 
8.8%
w 31
 
7.2%
m 30
 
7.0%
s 23
 
5.3%
n 23
 
5.3%
c 23
 
5.3%
r 21
 
4.9%
e 20
 
4.7%
Other values (15) 134
31.2%
Uppercase Letter
ValueCountFrequency (%)
U 4
16.0%
C 3
12.0%
R 2
 
8.0%
V 2
 
8.0%
Q 2
 
8.0%
Y 2
 
8.0%
E 1
 
4.0%
P 1
 
4.0%
H 1
 
4.0%
J 1
 
4.0%
Other values (6) 6
24.0%
Decimal Number
ValueCountFrequency (%)
2 4
19.0%
0 4
19.0%
6 2
9.5%
3 2
9.5%
1 2
9.5%
9 2
9.5%
8 2
9.5%
5 1
 
4.8%
7 1
 
4.8%
4 1
 
4.8%
Other Letter
ValueCountFrequency (%)
2
20.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 45
51.1%
. 28
31.8%
: 13
 
14.8%
@ 2
 
2.3%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 455
78.2%
Common 117
 
20.1%
Hangul 10
 
1.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 48
 
10.5%
a 39
 
8.6%
o 38
 
8.4%
w 31
 
6.8%
m 30
 
6.6%
s 23
 
5.1%
n 23
 
5.1%
c 23
 
5.1%
r 21
 
4.6%
e 20
 
4.4%
Other values (31) 159
34.9%
Common
ValueCountFrequency (%)
/ 45
38.5%
. 28
23.9%
: 13
 
11.1%
_ 6
 
5.1%
2 4
 
3.4%
0 4
 
3.4%
@ 2
 
1.7%
6 2
 
1.7%
3 2
 
1.7%
1 2
 
1.7%
Other values (7) 9
 
7.7%
Hangul
ValueCountFrequency (%)
2
20.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 572
98.3%
Hangul 10
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 48
 
8.4%
/ 45
 
7.9%
a 39
 
6.8%
o 38
 
6.6%
w 31
 
5.4%
m 30
 
5.2%
. 28
 
4.9%
s 23
 
4.0%
n 23
 
4.0%
c 23
 
4.0%
Other values (48) 244
42.7%
Hangul
ValueCountFrequency (%)
2
20.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%

SNS주소3
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing107
Missing (%)95.5%
Memory size1.0 KiB
2023-12-11T06:06:16.145677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length37
Mean length36.4
Min length13

Characters and Unicode

Total characters182
Distinct characters48
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row카카오플러스 : @wai
2nd rowhttps://www.instagram.com/blanc_nine/
3rd rowhttps://cafe.naver.com/zenmakers
4th rowhttps://www.youtube.com/channel/UClrnM7tuuUHeW0G7tKJ9X4Q
5th rowhttps://www.instagram.com/gahyun_art_studio/
ValueCountFrequency (%)
카카오플러스 1
14.3%
1
14.3%
wai 1
14.3%
https://www.instagram.com/blanc_nine 1
14.3%
https://cafe.naver.com/zenmakers 1
14.3%
https://www.youtube.com/channel/uclrnm7tuuuhew0g7tkj9x4q 1
14.3%
https://www.instagram.com/gahyun_art_studio 1
14.3%
2023-12-11T06:06:16.392756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 15
 
8.2%
/ 15
 
8.2%
a 12
 
6.6%
n 11
 
6.0%
w 10
 
5.5%
. 8
 
4.4%
e 8
 
4.4%
s 8
 
4.4%
c 7
 
3.8%
m 7
 
3.8%
Other values (38) 81
44.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 126
69.2%
Other Punctuation 29
 
15.9%
Uppercase Letter 11
 
6.0%
Other Letter 6
 
3.3%
Decimal Number 5
 
2.7%
Connector Punctuation 3
 
1.6%
Space Separator 2
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 15
11.9%
a 12
 
9.5%
n 11
 
8.7%
w 10
 
7.9%
e 8
 
6.3%
s 8
 
6.3%
c 7
 
5.6%
m 7
 
5.6%
h 6
 
4.8%
r 6
 
4.8%
Other values (13) 36
28.6%
Uppercase Letter
ValueCountFrequency (%)
U 2
18.2%
H 1
9.1%
Q 1
9.1%
X 1
9.1%
J 1
9.1%
K 1
9.1%
G 1
9.1%
W 1
9.1%
M 1
9.1%
C 1
9.1%
Other Letter
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 15
51.7%
. 8
27.6%
: 5
 
17.2%
@ 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
7 2
40.0%
4 1
20.0%
9 1
20.0%
0 1
20.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 137
75.3%
Common 39
 
21.4%
Hangul 6
 
3.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 15
 
10.9%
a 12
 
8.8%
n 11
 
8.0%
w 10
 
7.3%
e 8
 
5.8%
s 8
 
5.8%
c 7
 
5.1%
m 7
 
5.1%
h 6
 
4.4%
r 6
 
4.4%
Other values (23) 47
34.3%
Common
ValueCountFrequency (%)
/ 15
38.5%
. 8
20.5%
: 5
 
12.8%
_ 3
 
7.7%
7 2
 
5.1%
2
 
5.1%
4 1
 
2.6%
9 1
 
2.6%
0 1
 
2.6%
@ 1
 
2.6%
Hangul
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 176
96.7%
Hangul 6
 
3.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 15
 
8.5%
/ 15
 
8.5%
a 12
 
6.8%
n 11
 
6.2%
w 10
 
5.7%
. 8
 
4.5%
e 8
 
4.5%
s 8
 
4.5%
c 7
 
4.0%
m 7
 
4.0%
Other values (33) 75
42.6%
Hangul
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

공개여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size244.0 B
True
112 
ValueCountFrequency (%)
True 112
100.0%
2023-12-11T06:06:16.490599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-11T06:06:07.326386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:07.180915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:07.410488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:07.249141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:06:16.545691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업자등록번호우편번호대표전화홈페이지주소메이커스주요분야콘텐츠주요분야SNS주소1SNS주소2SNS주소3
사업자등록번호1.0000.2991.0001.0000.0000.7681.0001.0001.000
우편번호0.2991.0001.0001.0000.4270.0001.0001.0001.000
대표전화1.0001.0001.0001.0001.0001.0001.0001.0000.000
홈페이지주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
메이커스주요분야0.0000.4271.0001.0001.0000.0001.0001.0001.000
콘텐츠주요분야0.7680.0001.0001.0000.0001.0001.0001.0001.000
SNS주소11.0001.0001.0001.0001.0001.0001.0001.0001.000
SNS주소21.0001.0001.0001.0001.0001.0001.0001.0001.000
SNS주소31.0001.0000.0001.0001.0001.0001.0001.0001.000
2023-12-11T06:06:16.671856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
메이커스주요분야콘텐츠주요분야
메이커스주요분야1.0000.000
콘텐츠주요분야0.0001.000
2023-12-11T06:06:16.761235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업자등록번호우편번호메이커스주요분야콘텐츠주요분야
사업자등록번호1.0000.0970.0000.320
우편번호0.0971.0000.2300.000
메이커스주요분야0.0000.2301.0000.000
콘텐츠주요분야0.3200.0000.0001.000

Missing values

2023-12-11T06:06:07.525508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:06:07.725474image/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.
2023-12-11T06:06:07.883473image/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

회사명사업자등록번호개업년월기업소개주요작품우편번호주소상세주소대표전화홈페이지주소메이커스주요분야콘텐츠주요분야SNS주소1SNS주소2SNS주소3공개여부
0멍냥멍냥 공방59271001012017-05-15라이펙트센터는 생명이 존중받는 사회를 만들기 위해 만들어진 소셜벤처입니다.다양한 분야에서 고통받는 생명들을 어떻게하면 가장 빠르고 효과적으로 도와줄 수 있는지 연구하는 회사입니다.악세사리13535경기도 성남시 분당구 동판교로52번길 22-1410층 라이펙트센터<NA>http://mngb.co.kr/<NA><NA><NA><NA><NA>Y
1모두의오늘13047588322015-02-23방향제 재료 마켓운영캔들 크래프트 강사카톡 “모두의오늘”전화문의 "032?666?0222"인스타 “ joys517 ”캔들14722경기도 부천시 중동로 64 중동역푸르지오아파트모두의 오늘032-666-0222http://joysproject.com/<NA><NA><NA><NA><NA>Y
2모멜레39328006582018-03-27강가죽 카톡 강가죽 (한글검색)인스타그램 kanggajuk가죽공예16317경기도 수원시 장안구 수성로245번길 18 정승빌딩1층 강가죽공방<NA>https://blog.naver.com/kanggajuk<NA><NA><NA><NA><NA>Y
3목화꽃섬유공방13812527852014-10-21미싱 기초부터 홈패션 홈웨어 여성복 남성복 아동복 애견옷 수선&리폼 수업이 있습니다.애견옷 주문제작 의상학과 졸업작품 등 패턴 및 샘플의상 제작가능공방에는 의상디자인을 전공한 두 명의 선생님이 있으며 모녀관계임을 미리 알려드립니다홈패션 홈웨어 여성복 남성복 아동복 애견옷 수선&리폼 애견옷 주문제작 가능의상학과 졸업작품 등 패턴 및 샘플 제작13929경기도 안양시 동안구 관양동 1715-5101호 목화꽃섬유공방<NA>https://blog.naver.com/tjdgus1984패션<NA><NA><NA><NA>Y
4무아바이현철<NA>2019-07-22유튜브채널운영무주택자를 위한 아파트 바로알기 부동산 강의유튜브채널: 무아바이현철동영상10개 이상 업로드구독자:400명10229경기도 고양시 일산서구 하이파크3로 111 하이파크시티일산파밀리에2단지209동1302호<NA><NA><NA><NA><NA><NA><NA>Y
5미니어처드림26407001512014-02-04미니어처(돌하우스)에 꿈을 담아 백곰작가가 작은 세상을 만들어요.미니어처 전시갤러리미니어처 교육 체험미니어처 주문제작13113경기도 성남시 수정구 복정동 633-1101호 미니어처드림031-759-0515https://miniaturedream.modoo.at/기타<NA>https://blog.naver.com/wbear77<NA><NA>Y
6민앤미도예공방14401081622012-05-18연령별 교육 대상별 다양한 교육 프로그램을 운영 경험을 바탕으로 예비 창업자들의 교육 프로그램 기획 및 운영 공방 홍보 등 창업 초기 노하우 전수상품 : 음식점 식기 납품교육 : 성남문화재단 사업 경기도 교육청 사업 개인 사업(소유 공방 내 자체 교육프로그램)13505경기도 성남시 분당구 장미로100번길 15-18지하 민앤미도예공방<NA><NA>도예<NA><NA><NA><NA>Y
7바실공방60726666712018-03-06핸드메이드 소품 및 가방 등 제작등을 주로 하며직장인 대상 평일반 야간반 주말반 등 취미반 위주로 수업을 하고 있으며재봉틀 수업을 하고 있는 개인공방입니다.온라인으로는 창작 수제에코백을 제작 판매하고 있고 현재 블로그 및 스토어팜도 운영하고 있어요^^핸드메이드 수제 에코백감성소품 및 앞치마11144경기도 포천시 중앙로197번길 11-13바실공방<NA>https://blog.naver.com/wktmals1035패션기타https://blog.naver.com/wktmals1035https://www.instagram.com/basil0306/<NA>Y
8캔들공방 헤이데이75450003782018-04-03캔들스튜디오_HEYDAY ▶한국양초공예협회(KCCA) 아로마캔들지도사범 ▷천연소이캔들 석고방향제 디퓨져 ▶원데이 취미 전문가 자격증 클래스 ▷카카오톡 문의 ; ham2p캔들 / 캔들 클래스10503경기도 고양시 덕양구 화신로 259건영 캐슬빌<NA>http://blog.naver.com/heyday_v<NA><NA><NA><NA><NA>Y
9커피앤크래프트84664003202019-01-16커피와 디저트 교육. 커피용품 제작.업사이클 커피용품 제작.교육.커피. 디저트. 더치기구. 드립세트.16006경기도 의왕시 이미로 40 인덕원IT밸리B동 804호<NA><NA>푸드출판 광고Instagram : coffee_and_crafts_<NA><NA>Y
회사명사업자등록번호개업년월기업소개주요작품우편번호주소상세주소대표전화홈페이지주소메이커스주요분야콘텐츠주요분야SNS주소1SNS주소2SNS주소3공개여부
102그리밍아트26410010862019-02-26미술공방 그리밍아트 일러스트 & 캘리그라피 공방★일러스트 : 수채화 보테니컬 커스텀 펜드로잉★캘리그라피 : 캘리그라피 붓펜캘리그라피 수채캘리그라피 수묵캘리그라피★학교 기업워크샵 문화센타 출강 강사양성지도12227경기도 남양주시 의안로 148 평내마을중흥에스클래스아파트상가동 106호 그리밍아트<NA>http://www.그리밍아트.com/생활콘텐츠솔루션https://www.instagram.com/griming_jini/?hl=kohttp://www.그리밍아트.com/<NA>Y
103그린나래13690168882016-05-12자체개발한 디자인의 비누로 나만의 독특한 제품을 제작누구나 제작할수있는(판매되고있는 틀을이용) 비누가 아닌 자체제작으로 독특한 디자인의 비누를 만드며 기존 비누틀을 이용한 비누들은 사용함에따라 모습이 없어지며 단순한 네모 원형으로 변하지만 본 공방의 비누는 기둘 기법을 이용하여 처음부터 끝까지 그대로의 디자인을 유지하는 비누를 만든다.천연비누 석고방향제 디퓨져 등 생활공예14486경기도 부천시 원미로 305부천시공예체험교육관 천연비누교실 그린나래<NA><NA>생활<NA><NA><NA><NA>Y
104그린어리20430181852018-05-14저희는 자연주의 친환경 홈데코 브랜드입니다. 친환경 제품을 만들고 사용해서 유해 환경으로부터 나와 가족을 보호하고 나아가 자연과 동물들의 쉼터도 만드는 착한 소비를 함께 하는 사람들 입니다.이불커버 셋트 핸드페인팅 쿠션 등 홈데코 소품들 제작13937경기도 안양시 동안구 관평로 318비엔비빌딩 306호 그린어리070-8803-9223https://www.greenery.co.kr/패션<NA>http://blog.naver.com/egreenery2018<NA><NA>Y
105그린자기 공방79211010072019-01-04그린자기 공방에서는 도자기와 회화가 만나 아름다운 공간을 만들어 나가는 핸드 페인팅 도자기를 제작 판매하는 공방 입니다 . 다양한 연령층에 맞는 교육 프로그램을 개발하여 운영하고 있으며 도자기와 미술수업을 수강 할 수 있습니다.장식 도자기제작 / 기념일 선물용 도자기 주문 제작 / 생활 도자기(식기) / 교육 프로그램운영10496경기도 고양시 덕양구 은빛로 12 은빛마을6단지제상가 1동 304호 그린자기 공방031-978-3039<NA>도예<NA><NA><NA><NA>Y
106깐마네 공방59342000312015-05-14깐마네 공방을 운영하고 있는 도예인 김미진입니다.도예를 전공하여 2016년부터 개인 도자기 공방을 운영하며 깐마네 공방이라는 브랜드를 오픈하여 깐마네 만의 감성이 담긴 도자기를 디자인하여 제작하고 있습니다.sns에서 작업사진과 작업물을 올리며 도자기에 관심있는 사람들과 소통하며 온라인에서 주로 작품을 판매하고 있습니다.테이블웨어 작업에서 한단계 나아가 전반적인 인테리어 분위기에깐마네 감성을 담을 수 있도록 항상 탐구하며 작업하고 있습니다.눈꽃 접시 구름 접시 팔각 꽃받침 와인잔18114경기도 오산시 수청동 10-48공방<NA>http://gganmastudio.com도예기타@gganma_gb<NA><NA>Y
107꿈꾸는 다락방68204009642018-10-10꿈꾸는 다락방 Dreaming Attic 한국양초공예협회 [KCCA] 강사 에벤캔들 강사 캔들 자격증반 - 창업반/취미반 - 원데이클래스 디퓨져/석고방향제 [개인주문 / 답례품 제작] 한국디자인아트센터 [KDAC] 강사 - 천연비누 - 창업반/취미반 - 원데이클래스 [개인주문 / 답례품 제작] 플로리스트 전문가과정 - 창업반/취미반 - 원데이클래스 - 돌잔치/프로포즈 *주문 및 클래스 상시모집캔들 천연 비누16514경기도 수원시 영통구 법조로 38 광교 더샵 레이크파크꿈꾸는 다락방<NA>https://blog.naver.com/ebbnjh81<NA><NA><NA><NA><NA>Y
108꿈꾸는 분홍70120005092017-11-20광명 앙금플라워 쌀베이킹안녕하세요 꿈꾸는분홍입니다 앙금으로 꽃을 피워내고 건강한 쌀베이킹을 운영하고있습니다 케이크데코레이션협회의 자격증 발급가능합니다.앙금플라워 쌀베이킹14306경기도 광명시 하안로288번길 12 하안주공12단지상가꿈꾸는 분홍<NA>https://dreamingpink.modoo.at/<NA><NA><NA><NA><NA>Y
109꿈블룸22990123362017-10-16경기도 성남시 중원구 금광동에 위치한 세라믹 & 아트 스튜디오 입니다. 소수정예의 도자기 수강과 미술 수업이 이루어지며 예술감성을 나누는 공간입니다. ;)도자기 종류(컵 접시 등)13179경기도 성남시 중원구 금광동 4498꿈블룸<NA>https://blog.naver.com/kkooomblooom도예<NA>https://www.instagram.com/kkooomblooom/<NA><NA>Y
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