Overview

Dataset statistics

Number of variables7
Number of observations1238
Missing cells158
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory69.0 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Text6

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

소재지우편번호 has 156 (12.6%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:07:02.043509
Analysis finished2024-01-09 20:07:03.620030
Duration1.58 second
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
2024-01-10T05:07:03.718855image/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
2024-01-10T05:07:03.923813image/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

Distinct1115
Distinct (%)90.1%
Missing1
Missing (%)0.1%
Memory size9.8 KiB
2024-01-10T05:07:04.294984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length3.0970089
Min length2

Characters and Unicode

Total characters3831
Distinct characters238
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1015 ?
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 (1112) 1206
96.9%
2024-01-10T05:07:04.855212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 271
 
7.1%
이 178
 
4.6%
정 125
 
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) 2667
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3738
97.6%
Uppercase Letter 57
 
1.5%
Other Punctuation 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 125
 
3.3%
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) 2574
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%
Other Punctuation
ValueCountFrequency (%)
， 20
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3738
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 125
 
3.3%
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) 2574
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 3738
97.6%
ASCII 73
 
1.9%
None 20
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 271
 
7.2%
이 178
 
4.8%
정 125
 
3.3%
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) 2574
68.9%
None
ValueCountFrequency (%)
， 20
100.0%
ASCII
ValueCountFrequency (%)
8
 
11.0%
N 7
 
9.6%
O 7
 
9.6%
I 6
 
8.2%
A 5
 
6.8%
H 5
 
6.8%
E 3
 
4.1%
K 3
 
4.1%
U 3
 
4.1%
T 3
 
4.1%
Other values (17) 23
31.5%

법인또는상호
Text

Distinct1207
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-01-10T05:07:05.139775image/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%
2024-01-10T05:07:05.604779image/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

MISSING 

Distinct181
Distinct (%)16.7%
Missing156
Missing (%)12.6%
Memory size9.8 KiB
2024-01-10T05:07:05.948957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5563771
Min length5

Characters and Unicode

Total characters6012
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

Unique36 ?
Unique (%)3.3%

Sample

1st row33492
2nd row33464
3rd row33447
4th row33485
5th row33434
ValueCountFrequency (%)
355-943 74
 
6.8%
33488 69
 
6.4%
33491 50
 
4.6%
33489 48
 
4.4%
33430 26
 
2.4%
33490 24
 
2.2%
33508 21
 
1.9%
33449 18
 
1.7%
355-851 17
 
1.6%
355-931 16
 
1.5%
Other values (171) 719
66.5%
2024-01-10T05:07:06.486842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 2176
36.2%
4 974
16.2%
5 850
 
14.1%
9 412
 
6.9%
8 405
 
6.7%
- 301
 
5.0%
1 261
 
4.3%
0 232
 
3.9%
2 173
 
2.9%
7 121
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5711
95.0%
Dash Punctuation 301
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2176
38.1%
4 974
17.1%
5 850
 
14.9%
9 412
 
7.2%
8 405
 
7.1%
1 261
 
4.6%
0 232
 
4.1%
2 173
 
3.0%
7 121
 
2.1%
6 107
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 301
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 2176
36.2%
4 974
16.2%
5 850
 
14.1%
9 412
 
6.9%
8 405
 
6.7%
- 301
 
5.0%
1 261
 
4.3%
0 232
 
3.9%
2 173
 
2.9%
7 121
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 2176
36.2%
4 974
16.2%
5 850
 
14.1%
9 412
 
6.9%
8 405
 
6.7%
- 301
 
5.0%
1 261
 
4.3%
0 232
 
3.9%
2 173
 
2.9%
7 121
 
2.0%

소재지주소
Text

Distinct1115
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-01-10T05:07:06.858282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length54
Mean length26.074313
Min length15

Characters and Unicode

Total characters32280
Distinct characters347
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

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 269
 
3.9%
대천동 148
 
2.1%
웅천읍 95
 
1.4%
동대동 85
 
1.2%
남포면 81
 
1.2%
고잠2길 56
 
0.8%
주교면 54
 
0.8%
천북면 48
 
0.7%
Other values (1357) 3659
52.5%
2024-01-10T05:07:07.366468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5735
 
17.8%
남 1379
 
4.3%
청 1325
 
4.1%
보 1320
 
4.1%
령 1300
 
4.0%
시 1287
 
4.0%
도 1268
 
3.9%
충 1267
 
3.9%
1 1248
 
3.9%
동 1147
 
3.6%
Other values (337) 15004
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18932
58.6%
Space Separator 5735
 
17.8%
Decimal Number 5209
 
16.1%
Close Punctuation 761
 
2.4%
Open Punctuation 761
 
2.4%
Other Punctuation 495
 
1.5%
Dash Punctuation 363
 
1.1%
Uppercase Letter 13
 
< 0.1%
Lowercase Letter 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1379
 
7.3%
청 1325
 
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 539
 
2.8%
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%
Other Punctuation
ValueCountFrequency (%)
， 494
99.8%
@ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
5735
100.0%
Close Punctuation
ValueCountFrequency (%)
) 761
100.0%
Open Punctuation
ValueCountFrequency (%)
( 761
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 363
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18932
58.6%
Common 13324
41.3%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1379
 
7.3%
청 1325
 
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 539
 
2.8%
Other values (309) 7396
39.1%
Common
ValueCountFrequency (%)
5735
43.0%
1 1248
 
9.4%
) 761
 
5.7%
( 761
 
5.7%
2 730
 
5.5%
0 579
 
4.3%
3 565
 
4.2%
， 494
 
3.7%
4 452
 
3.4%
6 409
 
3.1%
Other values (6) 1590
 
11.9%
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
58.6%
ASCII 12854
39.8%
None 494
 
1.5%

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 1325
 
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 539
 
2.8%
Other values (309) 7396
39.1%
None
ValueCountFrequency (%)
， 494
100.0%

도메인명
Text

Distinct858
Distinct (%)69.4%
Missing1
Missing (%)0.1%
Memory size9.8 KiB
2024-01-10T05:07:07.625499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length45
Mean length16.303961
Min length1

Characters and Unicode

Total characters20168
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

Unique803 ?
Unique (%)64.9%

Sample

1st row-
2nd rowsmartstore
3rd row-
4th rowhttps://sell.smartstore.naver.com/midwinter87
5th rowhttp://www.idus.com/w/artist/b046978f-baff-4c9c-aceb-718d91c9ta1a
ValueCountFrequency (%)
222
 
16.8%
www.auction.co.kr 25
 
1.9%
http://mall.epost.go.kr 22
 
1.7%
네이버 21
 
1.6%
옥션 19
 
1.4%
11번가 15
 
1.1%
www.gmarket.co.kr 13
 
1.0%
www.naver.com 12
 
0.9%
g마켓 12
 
0.9%
스마트스토어 11
 
0.8%
Other values (861) 951
71.9%
2024-01-10T05:07:08.082029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 2017
 
10.0%
w 1689
 
8.4%
o 1643
 
8.1%
t 1119
 
5.5%
r 1108
 
5.5%
a 1049
 
5.2%
m 1022
 
5.1%
c 992
 
4.9%
e 979
 
4.9%
n 810
 
4.0%
Other values (263) 7740
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15360
76.2%
Other Punctuation 3044
 
15.1%
Other Letter 821
 
4.1%
Decimal Number 500
 
2.5%
Dash Punctuation 261
 
1.3%
Space Separator 99
 
0.5%
Uppercase Letter 51
 
0.3%
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%
어 30
 
3.7%
션 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%
L 4
 
7.8%
A 4
 
7.8%
W 3
 
5.9%
B 3
 
5.9%
E 2
 
3.9%
C 2
 
3.9%
D 2
 
3.9%
I 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%
4 33
 
6.6%
8 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%
Dash Punctuation
ValueCountFrequency (%)
- 261
100.0%
Space Separator
ValueCountFrequency (%)
99
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
76.4%
Common 3936
 
19.5%
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%
어 30
 
3.7%
션 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
51.2%
/ 748
 
19.0%
: 268
 
6.8%
- 261
 
6.6%
1 142
 
3.6%
99
 
2.5%
2 59
 
1.5%
0 57
 
1.4%
7 42
 
1.1%
5 38
 
1.0%
Other values (14) 205
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19347
95.9%
Hangul 821
 
4.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2017
 
10.4%
w 1689
 
8.7%
o 1643
 
8.5%
t 1119
 
5.8%
r 1108
 
5.7%
a 1049
 
5.4%
m 1022
 
5.3%
c 992
 
5.1%
e 979
 
5.1%
n 810
 
4.2%
Other values (61) 6919
35.8%
Hangul
ValueCountFrequency (%)
스 49
 
6.0%
이 43
 
5.2%
마 39
 
4.8%
네 32
 
3.9%
버 31
 
3.8%
어 30
 
3.7%
션 30
 
3.7%
토 26
 
3.2%
옥 21
 
2.6%
트 20
 
2.4%
Other values (192) 500
60.9%

취급품목
Text

Distinct67
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-01-10T05:07:08.280684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length76
Mean length5.7641357
Min length1

Characters and Unicode

Total characters7136
Distinct characters51
Distinct categories4 ?
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
39.6%
건강/식품 301
21.2%
의류/패션/잡화/뷰티 209
 
14.7%
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 (3) 20
 
1.4%
2024-01-10T05:07:08.705058image/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 (41) 2836
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5685
79.7%
Other Punctuation 1260
 
17.7%
Space Separator 182
 
2.6%
Dash Punctuation 9
 
0.1%

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%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5685
79.7%
Common 1451
 
20.3%

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
86.8%
182
 
12.5%
- 9
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5685
79.7%
ASCII 1451
 
20.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1260
86.8%
182
 
12.5%
- 9
 
0.6%
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%

Interactions

2024-01-10T05:07:03.092903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:07:09.315547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호취급품목
번호1.0000.458
취급품목0.4581.000

Missing values

2024-01-10T05:07:03.272231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:07:03.422156image/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.
2024-01-10T05:07:03.556742image/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

번호대표자명법인또는상호소재지우편번호소재지주소도메인명취급품목
01오종익라움에비앙33492충청남도 보령시 절길 42 (내항동)-기타
12박창배삼영상회33464충청남도 보령시 상설시장길 25 (대천동)smartstore건강/식품
23김상욱꼼G락33447충청남도 보령시 주교면 죽림길 26-41-의류/패션/잡화/뷰티
34한겨울한겨울33485충청남도 보령시 성주면 먹방계곡길 72https://sell.smartstore.naver.com/midwinter87기타
45송민지이슬상점33434충청남도 보령시 큰오랏4길 70 (동대동)http://www.idus.com/w/artist/b046978f-baff-4c9c-aceb-718d91c9ta1a기타
56임화영휠라인티모 대천점33454충청남도 보령시 중앙로 94 (대천동)네이버스토어의류/패션/잡화/뷰티
67이병두역전정육점33455충청남도 보령시 중앙시장3길 4 (대천동)-기타
78이수화꿀댕이33411충청남도 보령시 오천면 원산도4길 133sweetbee.pe.kr종합몰 교육/도서/완구/오락 가전 컴퓨터/사무용품 가구/수납용품 건강/식품
89채기훈여행이야기33433충청남도 보령시 매방아1길 11 (동대동)http://www.tsworld.kr종합몰 가구/수납용품 건강/식품 의류/패션/잡화/뷰티 레져/여행/공연
910설영미럭셔리33492충청남도 보령시 녹문1길 128 (내항동)http://story.kakao.com/hM4589의류/패션/잡화/뷰티
번호대표자명법인또는상호소재지우편번호소재지주소도메인명취급품목
12281229최종육보령냉열기<NA>충청남도 보령시 보령북로 110 (대천동)www.coonaircin.co.kr가전
12291230백이호동이농산영농조합법인<NA>충청남도 보령시 남포면 보령남로 410-8www.dongyi.co.kr건강/식품
12301231이계화고내미전통장<NA>충청남도 보령시 주포면 고남길 77www.gonemi.com건강/식품
12311232전성기보령광천수산영어조합법인355-090충청남도 보령시 장벌길 37 (남곡동)www.epost.go.kr건강/식품
12321233이순희청라은행한과공장<NA>충청남도 보령시 청라면 원자울길 40-2www.rda.go.kr건강/식품
12331234최민순대천김(주)33491충청남도 보령시 대해로 425-9 (요암동)www.15889293.com건강/식품
12341235김재범보령식품<NA>충청남도 보령시 오천면 가숭구지길 77www.boryeongfood.co.kr건강/식품
12351236장동현동이식품<NA>충청남도 보령시 주포면 배재길 46www.gooykim.com건강/식품
12361237유광호현대수산맛김355-923충청남도 보령시 주교면 은포길 340-14www.hyundaekim.com건강/식품
12371238김희환중앙맛김<NA>충청남도 보령시 남포면 대야실2길 26www.joongangkim.com건강/식품