Overview

Dataset statistics

Number of variables6
Number of observations289
Missing cells733
Missing cells (%)42.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.7 KiB
Average record size in memory48.5 B

Variable types

Text6

Dataset

Description도자기 판매 업소 현황에 대한 정보로 공방명, 연락처, 소재지 주소, 홈페이지 주소, 취급품목, 체험학습 레지던스 등 특별프로그램 등의 정보를 제공
Author경기도 이천시
URLhttps://www.data.go.kr/data/15064306/fileData.do

Alerts

연락처 has 231 (79.9%) missing valuesMissing
홈페이지주소 has 249 (86.2%) missing valuesMissing
취급품목 has 16 (5.5%) missing valuesMissing
체험학습-레지던스등 특별프로그램 has 237 (82.0%) missing valuesMissing
공방명(상호) has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:11:01.468626
Analysis finished2023-12-12 12:11:02.330355
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공방명(상호)
Text

UNIQUE 

Distinct289
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T21:11:02.528637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length5.5882353
Min length1

Characters and Unicode

Total characters1615
Distinct characters345
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique289 ?
Unique (%)100.0%

Sample

1st row봄봄
2nd row김석빈도자기
3rd row그루
4th row세라믹스튜디오 살래
5th row가마지기
ValueCountFrequency (%)
갤러리 11
 
3.1%
세라믹 3
 
0.8%
도예공방 3
 
0.8%
gallery 3
 
0.8%
스튜디오 3
 
0.8%
center 2
 
0.6%
100 2
 
0.6%
studio 2
 
0.6%
도도 2
 
0.6%
ceramic 2
 
0.6%
Other values (321) 325
90.8%
2023-12-12T21:11:02.959145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 80
 
5.0%
71
 
4.4%
예 59
 
3.7%
리 35
 
2.2%
공 34
 
2.1%
이 34
 
2.1%
토 29
 
1.8%
방 29
 
1.8%
라 28
 
1.7%
러 25
 
1.5%
Other values (335) 1191
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1259
78.0%
Lowercase Letter 128
 
7.9%
Uppercase Letter 86
 
5.3%
Space Separator 71
 
4.4%
Decimal Number 26
 
1.6%
Close Punctuation 15
 
0.9%
Open Punctuation 15
 
0.9%
Other Punctuation 12
 
0.7%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 80
 
6.4%
예 59
 
4.7%
리 35
 
2.8%
공 34
 
2.7%
이 34
 
2.7%
토 29
 
2.3%
방 29
 
2.3%
라 28
 
2.2%
러 25
 
2.0%
갤 25
 
2.0%
Other values (277) 881
70.0%
Uppercase Letter
ValueCountFrequency (%)
S 9
 
10.5%
C 8
 
9.3%
A 8
 
9.3%
E 6
 
7.0%
O 6
 
7.0%
T 6
 
7.0%
R 5
 
5.8%
G 5
 
5.8%
I 5
 
5.8%
U 4
 
4.7%
Other values (11) 24
27.9%
Lowercase Letter
ValueCountFrequency (%)
e 15
11.7%
a 14
10.9%
o 11
 
8.6%
r 11
 
8.6%
i 10
 
7.8%
l 9
 
7.0%
t 8
 
6.2%
u 7
 
5.5%
d 6
 
4.7%
h 5
 
3.9%
Other values (9) 32
25.0%
Decimal Number
ValueCountFrequency (%)
5 7
26.9%
4 4
15.4%
0 4
15.4%
1 3
11.5%
2 3
11.5%
9 2
 
7.7%
7 1
 
3.8%
6 1
 
3.8%
3 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/ 5
41.7%
& 3
25.0%
, 2
 
16.7%
† 1
 
8.3%
' 1
 
8.3%
Space Separator
ValueCountFrequency (%)
71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1254
77.6%
Latin 214
 
13.3%
Common 142
 
8.8%
Han 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 80
 
6.4%
예 59
 
4.7%
리 35
 
2.8%
공 34
 
2.7%
이 34
 
2.7%
토 29
 
2.3%
방 29
 
2.3%
라 28
 
2.2%
러 25
 
2.0%
갤 25
 
2.0%
Other values (272) 876
69.9%
Latin
ValueCountFrequency (%)
e 15
 
7.0%
a 14
 
6.5%
o 11
 
5.1%
r 11
 
5.1%
i 10
 
4.7%
S 9
 
4.2%
l 9
 
4.2%
C 8
 
3.7%
t 8
 
3.7%
A 8
 
3.7%
Other values (30) 111
51.9%
Common
ValueCountFrequency (%)
71
50.0%
) 15
 
10.6%
( 15
 
10.6%
5 7
 
4.9%
/ 5
 
3.5%
4 4
 
2.8%
0 4
 
2.8%
1 3
 
2.1%
& 3
 
2.1%
- 3
 
2.1%
Other values (8) 12
 
8.5%
Han
ValueCountFrequency (%)
陶 1
20.0%
器 1
20.0%
院 1
20.0%
旨 1
20.0%
嘗 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1254
77.6%
ASCII 355
 
22.0%
CJK 5
 
0.3%
Punctuation 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 80
 
6.4%
예 59
 
4.7%
리 35
 
2.8%
공 34
 
2.7%
이 34
 
2.7%
토 29
 
2.3%
방 29
 
2.3%
라 28
 
2.2%
러 25
 
2.0%
갤 25
 
2.0%
Other values (272) 876
69.9%
ASCII
ValueCountFrequency (%)
71
20.0%
) 15
 
4.2%
e 15
 
4.2%
( 15
 
4.2%
a 14
 
3.9%
o 11
 
3.1%
r 11
 
3.1%
i 10
 
2.8%
S 9
 
2.5%
l 9
 
2.5%
Other values (47) 175
49.3%
CJK
ValueCountFrequency (%)
陶 1
20.0%
器 1
20.0%
院 1
20.0%
旨 1
20.0%
嘗 1
20.0%
Punctuation
ValueCountFrequency (%)
† 1
100.0%

연락처
Text

MISSING 

Distinct56
Distinct (%)96.6%
Missing231
Missing (%)79.9%
Memory size2.4 KiB
2023-12-12T21:11:03.181027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.017241
Min length12

Characters and Unicode

Total characters697
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

Unique54 ?
Unique (%)93.1%

Sample

1st row031-635-5632
2nd row070-4108-7433
3rd row031-632-8306
4th row031-638-0881
5th row031-638-9395
ValueCountFrequency (%)
031-638-2220 2
 
3.4%
031-631-6840 2
 
3.4%
031-634-4614 1
 
1.7%
031-635-5632 1
 
1.7%
031-631-7600 1
 
1.7%
031-885-9313 1
 
1.7%
031-638-3390 1
 
1.7%
031-633-8706 1
 
1.7%
031-636-0296 1
 
1.7%
031-633-2969 1
 
1.7%
Other values (46) 46
79.3%
2023-12-12T21:11:03.570075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 140
20.1%
- 116
16.6%
0 93
13.3%
1 92
13.2%
6 86
12.3%
8 40
 
5.7%
4 32
 
4.6%
7 27
 
3.9%
2 25
 
3.6%
5 25
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 581
83.4%
Dash Punctuation 116
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 140
24.1%
0 93
16.0%
1 92
15.8%
6 86
14.8%
8 40
 
6.9%
4 32
 
5.5%
7 27
 
4.6%
2 25
 
4.3%
5 25
 
4.3%
9 21
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 697
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 140
20.1%
- 116
16.6%
0 93
13.3%
1 92
13.2%
6 86
12.3%
8 40
 
5.7%
4 32
 
4.6%
7 27
 
3.9%
2 25
 
3.6%
5 25
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 697
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 140
20.1%
- 116
16.6%
0 93
13.3%
1 92
13.2%
6 86
12.3%
8 40
 
5.7%
4 32
 
4.6%
7 27
 
3.9%
2 25
 
3.6%
5 25
 
3.6%

주소
Text

Distinct238
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T21:11:03.774668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length23.051903
Min length17

Characters and Unicode

Total characters6662
Distinct characters62
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique200 ?
Unique (%)69.2%

Sample

1st row경기도 이천시 신둔면 도자예술로 62번길 113-91
2nd row경기도 이천시 신둔면 도자예술로 62번길 113-107, 1층
3rd row경기도 이천시 신둔면 도자예술로 62번길 113-97
4th row경기도 이천시 신둔면 도자예술로 62번길 113-97
5th row경기도 이천시 신둔면 도자예술로 62번길 113-97
ValueCountFrequency (%)
경기도 289
20.4%
이천시 289
20.4%
신둔면 243
17.2%
도자예술로 82
 
5.8%
도자예술로62번길 27
 
1.9%
경충대로 25
 
1.8%
2993번길 23
 
1.6%
도자예술로6번길 23
 
1.6%
경충대로2993번길 21
 
1.5%
도자예술로5번길 19
 
1.3%
Other values (202) 373
26.4%
2023-12-12T21:11:04.187146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1128
16.9%
도 513
 
7.7%
경 336
 
5.0%
이 289
 
4.3%
천 289
 
4.3%
시 289
 
4.3%
기 289
 
4.3%
로 275
 
4.1%
면 245
 
3.7%
신 243
 
3.6%
Other values (52) 2766
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4259
63.9%
Decimal Number 1207
 
18.1%
Space Separator 1128
 
16.9%
Dash Punctuation 57
 
0.9%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 513
12.0%
경 336
 
7.9%
이 289
 
6.8%
천 289
 
6.8%
시 289
 
6.8%
기 289
 
6.8%
로 275
 
6.5%
면 245
 
5.8%
신 243
 
5.7%
둔 243
 
5.7%
Other values (36) 1248
29.3%
Decimal Number
ValueCountFrequency (%)
9 196
16.2%
1 187
15.5%
2 186
15.4%
3 161
13.3%
6 159
13.2%
5 119
9.9%
7 64
 
5.3%
4 49
 
4.1%
0 47
 
3.9%
8 39
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
1128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4259
63.9%
Common 2403
36.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 513
12.0%
경 336
 
7.9%
이 289
 
6.8%
천 289
 
6.8%
시 289
 
6.8%
기 289
 
6.8%
로 275
 
6.5%
면 245
 
5.8%
신 243
 
5.7%
둔 243
 
5.7%
Other values (36) 1248
29.3%
Common
ValueCountFrequency (%)
1128
46.9%
9 196
 
8.2%
1 187
 
7.8%
2 186
 
7.7%
3 161
 
6.7%
6 159
 
6.6%
5 119
 
5.0%
7 64
 
2.7%
- 57
 
2.4%
4 49
 
2.0%
Other values (6) 97
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4259
63.9%
ASCII 2403
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1128
46.9%
9 196
 
8.2%
1 187
 
7.8%
2 186
 
7.7%
3 161
 
6.7%
6 159
 
6.6%
5 119
 
5.0%
7 64
 
2.7%
- 57
 
2.4%
4 49
 
2.0%
Other values (6) 97
 
4.0%
Hangul
ValueCountFrequency (%)
도 513
12.0%
경 336
 
7.9%
이 289
 
6.8%
천 289
 
6.8%
시 289
 
6.8%
기 289
 
6.8%
로 275
 
6.5%
면 245
 
5.8%
신 243
 
5.7%
둔 243
 
5.7%
Other values (36) 1248
29.3%

홈페이지주소
Text

MISSING 

Distinct39
Distinct (%)97.5%
Missing249
Missing (%)86.2%
Memory size2.4 KiB
2023-12-12T21:11:04.473279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length34
Mean length25.525
Min length13

Characters and Unicode

Total characters1021
Distinct characters44
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

Unique38 ?
Unique (%)95.0%

Sample

1st rowwww.kimseokbinn-ceramics.com
2nd rowhttps://shopping.naver.com/living/handmade/stores/100935115
3rd rowwww.icheondoye.com
4th rowhttp://www.instagram.com/tozsto
5th rowhttp://banda-leather.com
ValueCountFrequency (%)
http://www.instagram.com/tozsto 2
 
4.9%
http://www.instagram.com/heejong_kim_sicgugi 1
 
2.4%
www.ilsangceramic.com 1
 
2.4%
www.sserakorea.co.kr 1
 
2.4%
http://www.tomi153.com 1
 
2.4%
www.a-bowl.co.kr 1
 
2.4%
http://www.무경.kr 1
 
2.4%
http://www.향토빛.com 1
 
2.4%
http//baao.modoo.at 1
 
2.4%
gallerymieum.com 1
 
2.4%
Other values (30) 30
73.2%
2023-12-12T21:11:04.976720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 85
 
8.3%
. 80
 
7.8%
w 78
 
7.6%
t 74
 
7.2%
/ 66
 
6.5%
a 65
 
6.4%
m 61
 
6.0%
c 54
 
5.3%
r 44
 
4.3%
s 44
 
4.3%
Other values (34) 370
36.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 794
77.8%
Other Punctuation 169
 
16.6%
Decimal Number 40
 
3.9%
Connector Punctuation 7
 
0.7%
Other Letter 5
 
0.5%
Dash Punctuation 4
 
0.4%
Uppercase Letter 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 85
10.7%
w 78
 
9.8%
t 74
 
9.3%
a 65
 
8.2%
m 61
 
7.7%
c 54
 
6.8%
r 44
 
5.5%
s 44
 
5.5%
e 42
 
5.3%
h 35
 
4.4%
Other values (13) 212
26.7%
Decimal Number
ValueCountFrequency (%)
0 13
32.5%
2 6
15.0%
1 6
15.0%
3 5
 
12.5%
5 4
 
10.0%
8 3
 
7.5%
7 2
 
5.0%
9 1
 
2.5%
Other Letter
ValueCountFrequency (%)
토 1
20.0%
빛 1
20.0%
향 1
20.0%
경 1
20.0%
무 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 80
47.3%
/ 66
39.1%
: 22
 
13.0%
@ 1
 
0.6%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 795
77.9%
Common 221
 
21.6%
Hangul 5
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 85
 
10.7%
w 78
 
9.8%
t 74
 
9.3%
a 65
 
8.2%
m 61
 
7.7%
c 54
 
6.8%
r 44
 
5.5%
s 44
 
5.5%
e 42
 
5.3%
h 35
 
4.4%
Other values (14) 213
26.8%
Common
ValueCountFrequency (%)
. 80
36.2%
/ 66
29.9%
: 22
 
10.0%
0 13
 
5.9%
_ 7
 
3.2%
2 6
 
2.7%
1 6
 
2.7%
3 5
 
2.3%
5 4
 
1.8%
- 4
 
1.8%
Other values (5) 8
 
3.6%
Hangul
ValueCountFrequency (%)
토 1
20.0%
빛 1
20.0%
향 1
20.0%
경 1
20.0%
무 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1016
99.5%
Hangul 5
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 85
 
8.4%
. 80
 
7.9%
w 78
 
7.7%
t 74
 
7.3%
/ 66
 
6.5%
a 65
 
6.4%
m 61
 
6.0%
c 54
 
5.3%
r 44
 
4.3%
s 44
 
4.3%
Other values (29) 365
35.9%
Hangul
ValueCountFrequency (%)
토 1
20.0%
빛 1
20.0%
향 1
20.0%
경 1
20.0%
무 1
20.0%

취급품목
Text

MISSING 

Distinct210
Distinct (%)76.9%
Missing16
Missing (%)5.5%
Memory size2.4 KiB
2023-12-12T21:11:05.262598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length139
Median length33
Mean length12.018315
Min length2

Characters and Unicode

Total characters3281
Distinct characters296
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)74.0%

Sample

1st row도자기(식기/소품/전통자기)
2nd row생활자기(식기)
3rd row도자기(생활식기)
4th row도자기(차도구/생활자기/소품)
5th row도자기(생활식기)
ValueCountFrequency (%)
도자기 67
 
12.0%
생활자기 33
 
5.9%
인테리어소품 14
 
2.5%
생활도자기 13
 
2.3%
백자 13
 
2.3%
소품 12
 
2.1%
및 10
 
1.8%
작품 10
 
1.8%
분청 8
 
1.4%
식기 8
 
1.4%
Other values (283) 372
66.4%
2023-12-12T21:11:05.737131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
289
 
8.8%
자 288
 
8.8%
기 278
 
8.5%
도 210
 
6.4%
/ 153
 
4.7%
, 135
 
4.1%
품 103
 
3.1%
생 86
 
2.6%
활 86
 
2.6%
소 60
 
1.8%
Other values (286) 1593
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2527
77.0%
Other Punctuation 291
 
8.9%
Space Separator 289
 
8.8%
Open Punctuation 58
 
1.8%
Close Punctuation 57
 
1.7%
Lowercase Letter 42
 
1.3%
Uppercase Letter 8
 
0.2%
Dash Punctuation 5
 
0.2%
Decimal Number 3
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 288
 
11.4%
기 278
 
11.0%
도 210
 
8.3%
품 103
 
4.1%
생 86
 
3.4%
활 86
 
3.4%
소 60
 
2.4%
리 55
 
2.2%
작 49
 
1.9%
식 49
 
1.9%
Other values (253) 1263
50.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
16.7%
o 4
9.5%
a 4
9.5%
l 4
9.5%
r 4
9.5%
b 3
 
7.1%
g 2
 
4.8%
u 2
 
4.8%
t 2
 
4.8%
n 2
 
4.8%
Other values (6) 8
19.0%
Uppercase Letter
ValueCountFrequency (%)
D 3
37.5%
T 1
 
12.5%
W 1
 
12.5%
R 1
 
12.5%
H 1
 
12.5%
C 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 153
52.6%
, 135
46.4%
& 2
 
0.7%
\ 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
3 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
289
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2526
77.0%
Common 704
 
21.5%
Latin 50
 
1.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 288
 
11.4%
기 278
 
11.0%
도 210
 
8.3%
품 103
 
4.1%
생 86
 
3.4%
활 86
 
3.4%
소 60
 
2.4%
리 55
 
2.2%
작 49
 
1.9%
식 49
 
1.9%
Other values (252) 1262
50.0%
Latin
ValueCountFrequency (%)
e 7
14.0%
o 4
 
8.0%
a 4
 
8.0%
l 4
 
8.0%
r 4
 
8.0%
b 3
 
6.0%
D 3
 
6.0%
g 2
 
4.0%
u 2
 
4.0%
t 2
 
4.0%
Other values (12) 15
30.0%
Common
ValueCountFrequency (%)
289
41.1%
/ 153
21.7%
, 135
19.2%
( 58
 
8.2%
) 57
 
8.1%
- 5
 
0.7%
& 2
 
0.3%
3 2
 
0.3%
_ 1
 
0.1%
\ 1
 
0.1%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2526
77.0%
ASCII 754
 
23.0%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
289
38.3%
/ 153
20.3%
, 135
17.9%
( 58
 
7.7%
) 57
 
7.6%
e 7
 
0.9%
- 5
 
0.7%
o 4
 
0.5%
a 4
 
0.5%
l 4
 
0.5%
Other values (23) 38
 
5.0%
Hangul
ValueCountFrequency (%)
자 288
 
11.4%
기 278
 
11.0%
도 210
 
8.3%
품 103
 
4.1%
생 86
 
3.4%
활 86
 
3.4%
소 60
 
2.4%
리 55
 
2.2%
작 49
 
1.9%
식 49
 
1.9%
Other values (252) 1262
50.0%
CJK
ValueCountFrequency (%)
外 1
100.0%

체험학습-레지던스등 특별프로그램
Text

MISSING 

Distinct49
Distinct (%)94.2%
Missing237
Missing (%)82.0%
Memory size2.4 KiB
2023-12-12T21:11:05.929403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length20
Mean length14.173077
Min length2

Characters and Unicode

Total characters737
Distinct characters173
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

Unique47 ?
Unique (%)90.4%

Sample

1st row도자기 물레체험(4인가족기준)
2nd row모든체험(~10명까지)
3rd row체험학습(20-25명)
4th row10명정도
5th row핸드페인팅, 체험학습10명미만
ValueCountFrequency (%)
없음 3
 
3.6%
30명 3
 
3.6%
체험학습 2
 
2.4%
수 1
 
1.2%
도자기 1
 
1.2%
청화백자그리기 1
 
1.2%
물레체험30명 1
 
1.2%
체험학습60-70 1
 
1.2%
50명정도 1
 
1.2%
어린이100명가능 1
 
1.2%
Other values (68) 68
81.9%
2023-12-12T21:11:06.268214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
명 43
 
5.8%
0 41
 
5.6%
체 34
 
4.6%
험 33
 
4.5%
31
 
4.2%
, 26
 
3.5%
( 20
 
2.7%
) 20
 
2.7%
1 19
 
2.6%
2 19
 
2.6%
Other values (163) 451
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 509
69.1%
Decimal Number 111
 
15.1%
Other Punctuation 33
 
4.5%
Space Separator 31
 
4.2%
Open Punctuation 20
 
2.7%
Close Punctuation 20
 
2.7%
Dash Punctuation 9
 
1.2%
Math Symbol 2
 
0.3%
Lowercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
명 43
 
8.4%
체 34
 
6.7%
험 33
 
6.5%
스 13
 
2.6%
습 13
 
2.6%
학 13
 
2.6%
레 13
 
2.6%
인 13
 
2.6%
기 11
 
2.2%
도 11
 
2.2%
Other values (143) 312
61.3%
Decimal Number
ValueCountFrequency (%)
0 41
36.9%
1 19
17.1%
2 19
17.1%
5 14
 
12.6%
3 10
 
9.0%
4 4
 
3.6%
7 2
 
1.8%
6 1
 
0.9%
8 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 26
78.8%
/ 3
 
9.1%
: 2
 
6.1%
. 2
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
r 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 509
69.1%
Common 226
30.7%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
명 43
 
8.4%
체 34
 
6.7%
험 33
 
6.5%
스 13
 
2.6%
습 13
 
2.6%
학 13
 
2.6%
레 13
 
2.6%
인 13
 
2.6%
기 11
 
2.2%
도 11
 
2.2%
Other values (143) 312
61.3%
Common
ValueCountFrequency (%)
0 41
18.1%
31
13.7%
, 26
11.5%
( 20
8.8%
) 20
8.8%
1 19
8.4%
2 19
8.4%
5 14
 
6.2%
3 10
 
4.4%
- 9
 
4.0%
Other values (8) 17
7.5%
Latin
ValueCountFrequency (%)
r 1
50.0%
o 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 509
69.1%
ASCII 228
30.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
명 43
 
8.4%
체 34
 
6.7%
험 33
 
6.5%
스 13
 
2.6%
습 13
 
2.6%
학 13
 
2.6%
레 13
 
2.6%
인 13
 
2.6%
기 11
 
2.2%
도 11
 
2.2%
Other values (143) 312
61.3%
ASCII
ValueCountFrequency (%)
0 41
18.0%
31
13.6%
, 26
11.4%
( 20
8.8%
) 20
8.8%
1 19
8.3%
2 19
8.3%
5 14
 
6.1%
3 10
 
4.4%
- 9
 
3.9%
Other values (10) 19
8.3%

Correlations

2023-12-12T21:11:06.372923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연락처홈페이지주소체험학습-레지던스등 특별프로그램
연락처1.0001.0001.000
홈페이지주소1.0001.0001.000
체험학습-레지던스등 특별프로그램1.0001.0001.000

Missing values

2023-12-12T21:11:02.006936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:11:02.131774image/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.
2023-12-12T21:11:02.260245image/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

공방명(상호)연락처주소홈페이지주소취급품목체험학습-레지던스등 특별프로그램
0봄봄031-635-5632경기도 이천시 신둔면 도자예술로 62번길 113-91<NA>도자기(식기/소품/전통자기)도자기 물레체험(4인가족기준)
1김석빈도자기070-4108-7433경기도 이천시 신둔면 도자예술로 62번길 113-107, 1층www.kimseokbinn-ceramics.com생활자기(식기)<NA>
2그루<NA>경기도 이천시 신둔면 도자예술로 62번길 113-97<NA>도자기(생활식기)<NA>
3세라믹스튜디오 살래<NA>경기도 이천시 신둔면 도자예술로 62번길 113-97https://shopping.naver.com/living/handmade/stores/100935115도자기(차도구/생활자기/소품)<NA>
4가마지기<NA>경기도 이천시 신둔면 도자예술로 62번길 113-97<NA>도자기(생활식기)<NA>
5토화도예031-632-8306경기도 이천시 신둔면 도자예술로5번길 52번<NA>도예(식기/액세서리/전통자기)커피용품/ 금속공예(귀금속공예/장신구)모든체험(~10명까지)
6우리손길<NA>경기도 이천시 신둔면 도자예술로5번길 6www.icheondoye.com생활자기/ 액세서리체험학습(20-25명)
7라임스톤<NA>경기도 이천시 신둔면 도자예술로 62번길 113-40<NA>도자기(식기/액세서리)<NA>
8플로리겐<NA>경기도 이천시 신둔면 도자예술로 62번길 142<NA>도자기(꽃)10명정도
9토몽<NA>경기도 이천시 신둔면 도자예술로 77<NA>도자기<NA>
공방명(상호)연락처주소홈페이지주소취급품목체험학습-레지던스등 특별프로그램
279그림있는풍경<NA>경기도 이천시 신둔면 경충대로2993번길 25<NA><NA><NA>
280토울<NA>경기도 이천시 신둔면 수광리 532-3<NA><NA><NA>
281그릇나들이<NA>경기도 이천시 신둔면 경충대로2993번길 38<NA><NA><NA>
282늘품기<NA>경기도 이천시 신둔면 경충대로2993번길 56. 3호<NA><NA><NA>
283클레이샤인<NA>경기도 이천시 신둔면 경충대로2993번길 23<NA><NA><NA>
284아폴론 갤러리<NA>경기도 이천시 도자예술로 5번길 95<NA><NA><NA>
285수수공방<NA>경기도 이천시 신둔면 낭정로 100-16<NA><NA><NA>
286남강도요<NA>경기도 이천시 신둔면 원적로 290번길 239<NA><NA><NA>
287스토리큐브 100<NA>경기도 이천시 도자예술로 99번길 61<NA><NA><NA>
288우하<NA>경기도 이천시 신둔면 도자예술로 28<NA><NA><NA>