Overview

Dataset statistics

Number of variables8
Number of observations1238
Missing cells231
Missing cells (%)2.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.7 KiB
Average record size in memory65.1 B

Variable types

Numeric1
Text6
Categorical1

Dataset

Description충청남도 보령시 통신 판매 업체의 법인 또는 상호, 대표자명, 소재지 우편번호, 소재지 주소, 도메인, 취급품목, 데이터기준일 안내 데이터입니다
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=410&beforeMenuCd=DOM_000000201001001000&publicdatapk=15037781

Alerts

데이터기준일 has constant value ""Constant
도메인명 has 222 (17.9%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:06:23.611976
Analysis finished2024-01-09 20:06:25.614932
Duration2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1238
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean619.5
Minimum1
Maximum1238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-01-10T05:06:25.710844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile62.85
Q1310.25
median619.5
Q3928.75
95-th percentile1176.15
Maximum1238
Range1237
Interquartile range (IQR)618.5

Descriptive statistics

Standard deviation357.52413
Coefficient of variation (CV)0.57711723
Kurtosis-1.2
Mean619.5
Median Absolute Deviation (MAD)309.5
Skewness0
Sum766941
Variance127823.5
MonotonicityStrictly increasing
2024-01-10T05:06:25.894367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
825 1
 
0.1%
832 1
 
0.1%
831 1
 
0.1%
830 1
 
0.1%
829 1
 
0.1%
828 1
 
0.1%
827 1
 
0.1%
826 1
 
0.1%
824 1
 
0.1%
Other values (1228) 1228
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1238 1
0.1%
1237 1
0.1%
1236 1
0.1%
1235 1
0.1%
1234 1
0.1%
1233 1
0.1%
1232 1
0.1%
1231 1
0.1%
1230 1
0.1%
1229 1
0.1%

대표자명
Text

Distinct1116
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-01-10T05:06:26.330166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length3.0969305
Min length2

Characters and Unicode

Total characters3834
Distinct characters238
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1016 ?
Unique (%)82.1%

Sample

1st row오종익
2nd row박창배
3rd row김상욱
4th row한겨울
5th row송민지
ValueCountFrequency (%)
한아름 7
 
0.6%
김청한 4
 
0.3%
안종철 4
 
0.3%
김영민 4
 
0.3%
유동균 4
 
0.3%
신미숙 4
 
0.3%
김주희 3
 
0.2%
최요한 3
 
0.2%
조창현 3
 
0.2%
송근일 3
 
0.2%
Other values (1113) 1207
96.9%
2024-01-10T05:06:27.002378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 271
 
7.1%
이 178
 
4.6%
정 126
 
3.3%
박 105
 
2.7%
영 99
 
2.6%
희 88
 
2.3%
최 79
 
2.1%
성 78
 
2.0%
진 71
 
1.9%
수 70
 
1.8%
Other values (228) 2669
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3741
97.6%
Uppercase Letter 57
 
1.5%
Math Symbol 20
 
0.5%
Space Separator 8
 
0.2%
Lowercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 271
 
7.2%
이 178
 
4.8%
정 126
 
3.4%
박 105
 
2.8%
영 99
 
2.6%
희 88
 
2.4%
최 79
 
2.1%
성 78
 
2.1%
진 71
 
1.9%
수 70
 
1.9%
Other values (200) 2576
68.9%
Uppercase Letter
ValueCountFrequency (%)
N 7
12.3%
O 7
12.3%
I 6
10.5%
A 5
 
8.8%
H 5
 
8.8%
E 3
 
5.3%
K 3
 
5.3%
U 3
 
5.3%
T 3
 
5.3%
L 2
 
3.5%
Other values (10) 13
22.8%
Lowercase Letter
ValueCountFrequency (%)
u 2
25.0%
i 2
25.0%
h 1
12.5%
y 1
12.5%
e 1
12.5%
n 1
12.5%
Math Symbol
ValueCountFrequency (%)
+ 20
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3741
97.6%
Latin 65
 
1.7%
Common 28
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 271
 
7.2%
이 178
 
4.8%
정 126
 
3.4%
박 105
 
2.8%
영 99
 
2.6%
희 88
 
2.4%
최 79
 
2.1%
성 78
 
2.1%
진 71
 
1.9%
수 70
 
1.9%
Other values (200) 2576
68.9%
Latin
ValueCountFrequency (%)
N 7
 
10.8%
O 7
 
10.8%
I 6
 
9.2%
A 5
 
7.7%
H 5
 
7.7%
E 3
 
4.6%
K 3
 
4.6%
U 3
 
4.6%
T 3
 
4.6%
L 2
 
3.1%
Other values (16) 21
32.3%
Common
ValueCountFrequency (%)
+ 20
71.4%
8
 
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3741
97.6%
ASCII 93
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 271
 
7.2%
이 178
 
4.8%
정 126
 
3.4%
박 105
 
2.8%
영 99
 
2.6%
희 88
 
2.4%
최 79
 
2.1%
성 78
 
2.1%
진 71
 
1.9%
수 70
 
1.9%
Other values (200) 2576
68.9%
ASCII
ValueCountFrequency (%)
+ 20
21.5%
8
 
8.6%
N 7
 
7.5%
O 7
 
7.5%
I 6
 
6.5%
A 5
 
5.4%
H 5
 
5.4%
E 3
 
3.2%
K 3
 
3.2%
U 3
 
3.2%
Other values (18) 26
28.0%

법인또는상호
Text

Distinct1207
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-01-10T05:06:27.333339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length6.4636511
Min length2

Characters and Unicode

Total characters8002
Distinct characters676
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1178 ?
Unique (%)95.2%

Sample

1st row라움에비앙
2nd row삼영상회
3rd row꼼G락
4th row한겨울
5th row이슬상점
ValueCountFrequency (%)
주식회사 52
 
3.4%
펜션 16
 
1.0%
농업회사법인 12
 
0.8%
주 9
 
0.6%
유한회사 9
 
0.6%
보령점 7
 
0.5%
대천 5
 
0.3%
영농조합법인 5
 
0.3%
보령 5
 
0.3%
컴퍼니 4
 
0.3%
Other values (1358) 1422
92.0%
2024-01-10T05:06:27.922727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
314
 
3.9%
이 162
 
2.0%
션 140
 
1.7%
사 139
 
1.7%
펜 130
 
1.6%
산 130
 
1.6%
보 122
 
1.5%
리 117
 
1.5%
주 115
 
1.4%
농 115
 
1.4%
Other values (666) 6518
81.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6925
86.5%
Space Separator 314
 
3.9%
Lowercase Letter 285
 
3.6%
Uppercase Letter 194
 
2.4%
Open Punctuation 102
 
1.3%
Close Punctuation 102
 
1.3%
Decimal Number 51
 
0.6%
Dash Punctuation 12
 
0.1%
Other Punctuation 11
 
0.1%
Other Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 162
 
2.3%
션 140
 
2.0%
사 139
 
2.0%
펜 130
 
1.9%
산 130
 
1.9%
보 122
 
1.8%
리 117
 
1.7%
주 115
 
1.7%
농 115
 
1.7%
수 112
 
1.6%
Other values (596) 5643
81.5%
Uppercase Letter
ValueCountFrequency (%)
A 18
 
9.3%
O 16
 
8.2%
P 14
 
7.2%
S 14
 
7.2%
D 10
 
5.2%
L 10
 
5.2%
R 10
 
5.2%
I 9
 
4.6%
M 9
 
4.6%
B 9
 
4.6%
Other values (15) 75
38.7%
Lowercase Letter
ValueCountFrequency (%)
e 38
13.3%
o 31
10.9%
a 27
 
9.5%
i 24
 
8.4%
n 21
 
7.4%
r 20
 
7.0%
m 16
 
5.6%
t 15
 
5.3%
s 12
 
4.2%
u 11
 
3.9%
Other values (13) 70
24.6%
Decimal Number
ValueCountFrequency (%)
1 13
25.5%
0 12
23.5%
2 6
11.8%
3 6
11.8%
8 5
 
9.8%
4 3
 
5.9%
9 2
 
3.9%
5 2
 
3.9%
7 1
 
2.0%
6 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 6
54.5%
& 2
 
18.2%
＆ 1
 
9.1%
/ 1
 
9.1%
# 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 101
99.0%
） 1
 
1.0%
Space Separator
ValueCountFrequency (%)
314
100.0%
Open Punctuation
ValueCountFrequency (%)
( 102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6927
86.6%
Common 593
 
7.4%
Latin 479
 
6.0%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 162
 
2.3%
션 140
 
2.0%
사 139
 
2.0%
펜 130
 
1.9%
산 130
 
1.9%
보 122
 
1.8%
리 117
 
1.7%
주 115
 
1.7%
농 115
 
1.7%
수 112
 
1.6%
Other values (594) 5645
81.5%
Latin
ValueCountFrequency (%)
e 38
 
7.9%
o 31
 
6.5%
a 27
 
5.6%
i 24
 
5.0%
n 21
 
4.4%
r 20
 
4.2%
A 18
 
3.8%
m 16
 
3.3%
O 16
 
3.3%
t 15
 
3.1%
Other values (38) 253
52.8%
Common
ValueCountFrequency (%)
314
53.0%
( 102
 
17.2%
) 101
 
17.0%
1 13
 
2.2%
0 12
 
2.0%
- 12
 
2.0%
. 6
 
1.0%
2 6
 
1.0%
3 6
 
1.0%
8 5
 
0.8%
Other values (11) 16
 
2.7%
Han
ValueCountFrequency (%)
樂 1
33.3%
新 1
33.3%
美 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6922
86.5%
ASCII 1070
 
13.4%
None 7
 
0.1%
CJK 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
314
29.3%
( 102
 
9.5%
) 101
 
9.4%
e 38
 
3.6%
o 31
 
2.9%
a 27
 
2.5%
i 24
 
2.2%
n 21
 
2.0%
r 20
 
1.9%
A 18
 
1.7%
Other values (57) 374
35.0%
Hangul
ValueCountFrequency (%)
이 162
 
2.3%
션 140
 
2.0%
사 139
 
2.0%
펜 130
 
1.9%
산 130
 
1.9%
보 122
 
1.8%
리 117
 
1.7%
주 115
 
1.7%
농 115
 
1.7%
수 112
 
1.6%
Other values (593) 5640
81.5%
None
ValueCountFrequency (%)
㈜ 5
71.4%
） 1
 
14.3%
＆ 1
 
14.3%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%
CJK
ValueCountFrequency (%)
新 1
50.0%
美 1
50.0%

소재지우편번호
Text

Distinct140
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-01-10T05:06:28.291257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0646204
Min length5

Characters and Unicode

Total characters6270
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

Unique23 ?
Unique (%)1.9%

Sample

1st row33492
2nd row33464
3rd row33447
4th row33485
5th row33434
ValueCountFrequency (%)
33489 101
 
8.2%
33488 95
 
7.7%
33491 64
 
5.2%
33490 36
 
2.9%
33508 34
 
2.7%
33430 30
 
2.4%
33449 30
 
2.4%
33454 27
 
2.2%
33452 16
 
1.3%
33439 16
 
1.3%
Other values (130) 789
63.7%
2024-01-10T05:06:28.866505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 2646
42.2%
4 1288
20.5%
8 428
 
6.8%
5 418
 
6.7%
9 407
 
6.5%
1 284
 
4.5%
0 283
 
4.5%
2 211
 
3.4%
6 133
 
2.1%
7 132
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6230
99.4%
Dash Punctuation 40
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2646
42.5%
4 1288
20.7%
8 428
 
6.9%
5 418
 
6.7%
9 407
 
6.5%
1 284
 
4.6%
0 283
 
4.5%
2 211
 
3.4%
6 133
 
2.1%
7 132
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6270
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 2646
42.2%
4 1288
20.5%
8 428
 
6.8%
5 418
 
6.7%
9 407
 
6.5%
1 284
 
4.5%
0 283
 
4.5%
2 211
 
3.4%
6 133
 
2.1%
7 132
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 2646
42.2%
4 1288
20.5%
8 428
 
6.8%
5 418
 
6.7%
9 407
 
6.5%
1 284
 
4.5%
0 283
 
4.5%
2 211
 
3.4%
6 133
 
2.1%
7 132
 
2.1%

소재지주소
Text

Distinct1115
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-01-10T05:06:29.232458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length50
Mean length25.675283
Min length15

Characters and Unicode

Total characters31786
Distinct characters346
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

Unique1024 ?
Unique (%)82.7%

Sample

1st row충청남도 보령시 절길 42 (내항동)
2nd row충청남도 보령시 상설시장길 25 (대천동)
3rd row충청남도 보령시 주교면 죽림길 26-41
4th row충청남도 보령시 성주면 먹방계곡길 72
5th row충청남도 보령시 큰오랏4길 70 (동대동)
ValueCountFrequency (%)
충청남도 1238
 
17.8%
보령시 1233
 
17.7%
신흑동 282
 
4.0%
대천동 185
 
2.7%
동대동 126
 
1.8%
웅천읍 95
 
1.4%
남포면 81
 
1.2%
죽정동 62
 
0.9%
고잠2길 56
 
0.8%
주교면 54
 
0.8%
Other values (1276) 3554
51.0%
2024-01-10T05:06:29.795799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5735
 
18.0%
남 1379
 
4.3%
청 1324
 
4.2%
보 1320
 
4.2%
령 1300
 
4.1%
시 1287
 
4.0%
도 1268
 
4.0%
충 1267
 
4.0%
1 1248
 
3.9%
동 1147
 
3.6%
Other values (336) 14511
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18932
59.6%
Space Separator 5735
 
18.0%
Decimal Number 5209
 
16.4%
Close Punctuation 761
 
2.4%
Open Punctuation 761
 
2.4%
Dash Punctuation 363
 
1.1%
Uppercase Letter 13
 
< 0.1%
Lowercase Letter 11
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1379
 
7.3%
청 1324
 
7.0%
보 1320
 
7.0%
령 1300
 
6.9%
시 1287
 
6.8%
도 1268
 
6.7%
충 1267
 
6.7%
동 1147
 
6.1%
길 704
 
3.7%
천 540
 
2.9%
Other values (309) 7396
39.1%
Decimal Number
ValueCountFrequency (%)
1 1248
24.0%
2 730
14.0%
0 579
11.1%
3 565
10.8%
4 452
 
8.7%
6 409
 
7.9%
5 353
 
6.8%
7 319
 
6.1%
9 290
 
5.6%
8 264
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
30.8%
A 2
15.4%
C 2
15.4%
D 1
 
7.7%
P 1
 
7.7%
R 1
 
7.7%
F 1
 
7.7%
G 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
e 5
45.5%
k 2
 
18.2%
y 2
 
18.2%
s 2
 
18.2%
Space Separator
ValueCountFrequency (%)
5735
100.0%
Close Punctuation
ValueCountFrequency (%)
) 761
100.0%
Open Punctuation
ValueCountFrequency (%)
( 761
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 363
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18932
59.6%
Common 12830
40.4%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1379
 
7.3%
청 1324
 
7.0%
보 1320
 
7.0%
령 1300
 
6.9%
시 1287
 
6.8%
도 1268
 
6.7%
충 1267
 
6.7%
동 1147
 
6.1%
길 704
 
3.7%
천 540
 
2.9%
Other values (309) 7396
39.1%
Common
ValueCountFrequency (%)
5735
44.7%
1 1248
 
9.7%
) 761
 
5.9%
( 761
 
5.9%
2 730
 
5.7%
0 579
 
4.5%
3 565
 
4.4%
4 452
 
3.5%
6 409
 
3.2%
- 363
 
2.8%
Other values (5) 1227
 
9.6%
Latin
ValueCountFrequency (%)
e 5
20.8%
B 4
16.7%
k 2
 
8.3%
y 2
 
8.3%
s 2
 
8.3%
A 2
 
8.3%
C 2
 
8.3%
D 1
 
4.2%
P 1
 
4.2%
R 1
 
4.2%
Other values (2) 2
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18932
59.6%
ASCII 12854
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5735
44.6%
1 1248
 
9.7%
) 761
 
5.9%
( 761
 
5.9%
2 730
 
5.7%
0 579
 
4.5%
3 565
 
4.4%
4 452
 
3.5%
6 409
 
3.2%
- 363
 
2.8%
Other values (17) 1251
 
9.7%
Hangul
ValueCountFrequency (%)
남 1379
 
7.3%
청 1324
 
7.0%
보 1320
 
7.0%
령 1300
 
6.9%
시 1287
 
6.8%
도 1268
 
6.7%
충 1267
 
6.7%
동 1147
 
6.1%
길 704
 
3.7%
천 540
 
2.9%
Other values (309) 7396
39.1%

도메인명
Text

MISSING 

Distinct858
Distinct (%)84.4%
Missing222
Missing (%)17.9%
Memory size9.8 KiB
2024-01-10T05:06:30.055437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length44
Mean length19.632874
Min length1

Characters and Unicode

Total characters19947
Distinct characters273
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique804 ?
Unique (%)79.1%

Sample

1st rowsmartstore
2nd rowhttps://sell.smartstore.naver.com/midwinter87
3rd rowhttp://www.idus.com/w/artist/b046978f-baff-4c9c-aceb-718d91c9ta1a
4th row네이버스토어
5th rowsweetbee.pe.kr
ValueCountFrequency (%)
www.auction.co.kr 25
 
2.3%
http://mall.epost.go.kr 22
 
2.0%
네이버 21
 
1.9%
옥션 19
 
1.7%
11번가 15
 
1.4%
www.gmarket.co.kr 13
 
1.2%
www.naver.com 12
 
1.1%
g마켓 12
 
1.1%
스마트스토어 11
 
1.0%
www.11st.co.kr 10
 
0.9%
Other values (861) 942
85.5%
2024-01-10T05:06:30.566886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 2017
 
10.1%
w 1689
 
8.5%
o 1643
 
8.2%
t 1119
 
5.6%
r 1108
 
5.6%
a 1049
 
5.3%
m 1022
 
5.1%
c 992
 
5.0%
e 979
 
4.9%
n 810
 
4.1%
Other values (263) 7519
37.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15360
77.0%
Other Punctuation 3044
 
15.3%
Other Letter 821
 
4.1%
Decimal Number 500
 
2.5%
Space Separator 99
 
0.5%
Uppercase Letter 51
 
0.3%
Dash Punctuation 40
 
0.2%
Connector Punctuation 25
 
0.1%
Close Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 49
 
6.0%
이 43
 
5.2%
마 39
 
4.8%
네 32
 
3.9%
버 31
 
3.8%
션 30
 
3.7%
어 30
 
3.7%
토 26
 
3.2%
옥 21
 
2.6%
트 20
 
2.4%
Other values (192) 500
60.9%
Lowercase Letter
ValueCountFrequency (%)
w 1689
11.0%
o 1643
 
10.7%
t 1119
 
7.3%
r 1108
 
7.2%
a 1049
 
6.8%
m 1022
 
6.7%
c 992
 
6.5%
e 979
 
6.4%
n 810
 
5.3%
s 753
 
4.9%
Other values (16) 4196
27.3%
Uppercase Letter
ValueCountFrequency (%)
G 10
19.6%
N 5
 
9.8%
A 4
 
7.8%
L 4
 
7.8%
B 3
 
5.9%
W 3
 
5.9%
E 2
 
3.9%
C 2
 
3.9%
F 2
 
3.9%
M 2
 
3.9%
Other values (11) 14
27.5%
Decimal Number
ValueCountFrequency (%)
1 142
28.4%
2 59
11.8%
0 57
11.4%
7 42
 
8.4%
5 38
 
7.6%
9 37
 
7.4%
3 37
 
7.4%
8 33
 
6.6%
4 33
 
6.6%
6 22
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 2017
66.3%
/ 748
 
24.6%
: 268
 
8.8%
@ 5
 
0.2%
% 2
 
0.1%
? 2
 
0.1%
! 1
 
< 0.1%
# 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15411
77.3%
Common 3715
 
18.6%
Hangul 821
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 49
 
6.0%
이 43
 
5.2%
마 39
 
4.8%
네 32
 
3.9%
버 31
 
3.8%
션 30
 
3.7%
어 30
 
3.7%
토 26
 
3.2%
옥 21
 
2.6%
트 20
 
2.4%
Other values (192) 500
60.9%
Latin
ValueCountFrequency (%)
w 1689
 
11.0%
o 1643
 
10.7%
t 1119
 
7.3%
r 1108
 
7.2%
a 1049
 
6.8%
m 1022
 
6.6%
c 992
 
6.4%
e 979
 
6.4%
n 810
 
5.3%
s 753
 
4.9%
Other values (37) 4247
27.6%
Common
ValueCountFrequency (%)
. 2017
54.3%
/ 748
 
20.1%
: 268
 
7.2%
1 142
 
3.8%
99
 
2.7%
2 59
 
1.6%
0 57
 
1.5%
7 42
 
1.1%
- 40
 
1.1%
5 38
 
1.0%
Other values (14) 205
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19126
95.9%
Hangul 821
 
4.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2017
 
10.5%
w 1689
 
8.8%
o 1643
 
8.6%
t 1119
 
5.9%
r 1108
 
5.8%
a 1049
 
5.5%
m 1022
 
5.3%
c 992
 
5.2%
e 979
 
5.1%
n 810
 
4.2%
Other values (61) 6698
35.0%
Hangul
ValueCountFrequency (%)
스 49
 
6.0%
이 43
 
5.2%
마 39
 
4.8%
네 32
 
3.9%
버 31
 
3.8%
션 30
 
3.7%
어 30
 
3.7%
토 26
 
3.2%
옥 21
 
2.6%
트 20
 
2.4%
Other values (192) 500
60.9%

취급품목
Text

Distinct66
Distinct (%)5.4%
Missing9
Missing (%)0.7%
Memory size9.8 KiB
2024-01-10T05:06:30.770424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length76
Mean length5.7990236
Min length2

Characters and Unicode

Total characters7127
Distinct characters50
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)3.1%

Sample

1st row기타
2nd row건강/식품
3rd row의류/패션/잡화/뷰티
4th row기타
5th row기타
ValueCountFrequency (%)
기타 563
39.9%
건강/식품 301
21.3%
의류/패션/잡화/뷰티 209
 
14.8%
종합몰 120
 
8.5%
레져/여행/공연 92
 
6.5%
컴퓨터/사무용품 28
 
2.0%
가구/수납용품 26
 
1.8%
교육/도서/완구/오락 24
 
1.7%
가전 19
 
1.3%
자동차/자동차용품 18
 
1.3%
Other values (2) 11
 
0.8%
2024-01-10T05:06:31.111013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1260
17.7%
기 563
 
7.9%
타 563
 
7.9%
품 384
 
5.4%
건 301
 
4.2%
강 301
 
4.2%
식 301
 
4.2%
잡 209
 
2.9%
티 209
 
2.9%
뷰 209
 
2.9%
Other values (40) 2827
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5685
79.8%
Other Punctuation 1260
 
17.7%
Space Separator 182
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 563
 
9.9%
타 563
 
9.9%
품 384
 
6.8%
건 301
 
5.3%
강 301
 
5.3%
식 301
 
5.3%
잡 209
 
3.7%
티 209
 
3.7%
뷰 209
 
3.7%
화 209
 
3.7%
Other values (38) 2436
42.8%
Other Punctuation
ValueCountFrequency (%)
/ 1260
100.0%
Space Separator
ValueCountFrequency (%)
182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5685
79.8%
Common 1442
 
20.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 563
 
9.9%
타 563
 
9.9%
품 384
 
6.8%
건 301
 
5.3%
강 301
 
5.3%
식 301
 
5.3%
잡 209
 
3.7%
티 209
 
3.7%
뷰 209
 
3.7%
화 209
 
3.7%
Other values (38) 2436
42.8%
Common
ValueCountFrequency (%)
/ 1260
87.4%
182
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5685
79.8%
ASCII 1442
 
20.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1260
87.4%
182
 
12.6%
Hangul
ValueCountFrequency (%)
기 563
 
9.9%
타 563
 
9.9%
품 384
 
6.8%
건 301
 
5.3%
강 301
 
5.3%
식 301
 
5.3%
잡 209
 
3.7%
티 209
 
3.7%
뷰 209
 
3.7%
화 209
 
3.7%
Other values (38) 2436
42.8%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2021-11-03
1238 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-11-03
2nd row2021-11-03
3rd row2021-11-03
4th row2021-11-03
5th row2021-11-03

Common Values

ValueCountFrequency (%)
2021-11-03 1238
100.0%

Length

2024-01-10T05:06:31.269938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:06:31.392622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-11-03 1238
100.0%

Interactions

2024-01-10T05:06:25.069902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:06:31.470777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호취급품목
번호1.0000.450
취급품목0.4501.000

Missing values

2024-01-10T05:06:25.221601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:06:25.394331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-01-10T05:06:25.545824image/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

번호대표자명법인또는상호소재지우편번호소재지주소도메인명취급품목데이터기준일
01오종익라움에비앙33492충청남도 보령시 절길 42 (내항동)<NA>기타2021-11-03
12박창배삼영상회33464충청남도 보령시 상설시장길 25 (대천동)smartstore건강/식품2021-11-03
23김상욱꼼G락33447충청남도 보령시 주교면 죽림길 26-41<NA>의류/패션/잡화/뷰티2021-11-03
34한겨울한겨울33485충청남도 보령시 성주면 먹방계곡길 72https://sell.smartstore.naver.com/midwinter87기타2021-11-03
45송민지이슬상점33434충청남도 보령시 큰오랏4길 70 (동대동)http://www.idus.com/w/artist/b046978f-baff-4c9c-aceb-718d91c9ta1a기타2021-11-03
56임화영휠라인티모 대천점33454충청남도 보령시 중앙로 94 (대천동)네이버스토어의류/패션/잡화/뷰티2021-11-03
67이병두역전정육점33455충청남도 보령시 중앙시장3길 4 (대천동)<NA>기타2021-11-03
78이수화꿀댕이33411충청남도 보령시 오천면 원산도4길 133sweetbee.pe.kr종합몰 교육/도서/완구/오락 가전 컴퓨터/사무용품 가구/수납용품 건강/식품2021-11-03
89채기훈여행이야기33433충청남도 보령시 매방아1길 11 (동대동)http://www.tsworld.kr종합몰 가구/수납용품 건강/식품 의류/패션/잡화/뷰티 레져/여행/공연2021-11-03
910설영미럭셔리33492충청남도 보령시 녹문1길 128 (내항동)http://story.kakao.com/hM4589의류/패션/잡화/뷰티2021-11-03
번호대표자명법인또는상호소재지우편번호소재지주소도메인명취급품목데이터기준일
12281229최종육보령냉열기33439충청남도 보령시 보령북로 110 (대천동)www.coonaircin.co.kr가전2021-11-03
12291230백이호동이농산영농조합법인33493충청남도 보령시 남포면 보령남로 410-8www.dongyi.co.kr건강/식품2021-11-03
12301231이계화고내미전통장33414충청남도 보령시 주포면 고남길 77www.gonemi.com건강/식품2021-11-03
12311232전성기보령광천수산영어조합법인33491충청남도 보령시 장벌길 37 (남곡동)www.epost.go.kr건강/식품2021-11-03
12321233이순희청라은행한과공장33423충청남도 보령시 청라면 원자울길 40-2www.rda.go.kr건강/식품2021-11-03
12331234최민순대천김(주)33491충청남도 보령시 대해로 425-9 (요암동)www.15889293.com건강/식품2021-11-03
12341235김재범보령식품355-844충청남도 보령시 오천면 가숭구지길 77www.boryeongfood.co.kr건강/식품2021-11-03
12351236장동현동이식품33415충청남도 보령시 주포면 배재길 46www.gooykim.com건강/식품2021-11-03
12361237유광호현대수산맛김33417충청남도 보령시 주교면 은포길 340-14www.hyundaekim.com건강/식품2021-11-03
12371238김희환중앙맛김33499충청남도 보령시 남포면 대야실2길 26www.joongangkim.com건강/식품2021-11-03