Overview

Dataset statistics

Number of variables10
Number of observations1741
Missing cells938
Missing cells (%)5.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory137.8 KiB
Average record size in memory81.1 B

Variable types

Numeric1
Text6
Categorical3

Dataset

Description충청남도 보령시 통신 판매 업체의 법인 또는 상호, 대표자명, 소재지 우편번호, 소재지 주소, 도메인, 취급품목, 데이터기준일 안내 데이터입니다
Author충청남도 보령시
URLhttps://www.data.go.kr/data/15037781/fileData.do

Alerts

데이터기준일 has constant value ""Constant
운영상태 is highly imbalanced (99.3%)Imbalance
법인구분 is highly imbalanced (61.8%)Imbalance
소재지우편번호 has 81 (4.7%) missing valuesMissing
도메인명 has 857 (49.2%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:15:09.235432
Analysis finished2023-12-12 09:15:10.951364
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1741
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean871
Minimum1
Maximum1741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.4 KiB
2023-12-12T18:15:11.060384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q1436
median871
Q31306
95-th percentile1654
Maximum1741
Range1740
Interquartile range (IQR)870

Descriptive statistics

Standard deviation502.72773
Coefficient of variation (CV)0.57718453
Kurtosis-1.2
Mean871
Median Absolute Deviation (MAD)435
Skewness0
Sum1516411
Variance252735.17
MonotonicityStrictly increasing
2023-12-12T18:15:11.260435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1158 1
 
0.1%
1169 1
 
0.1%
1168 1
 
0.1%
1167 1
 
0.1%
1166 1
 
0.1%
1165 1
 
0.1%
1164 1
 
0.1%
1163 1
 
0.1%
1162 1
 
0.1%
Other values (1731) 1731
99.4%
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 (%)
1741 1
0.1%
1740 1
0.1%
1739 1
0.1%
1738 1
0.1%
1737 1
0.1%
1736 1
0.1%
1735 1
0.1%
1734 1
0.1%
1733 1
0.1%
1732 1
0.1%

관리번호
Text

Distinct1740
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size13.7 KiB
2023-12-12T18:15:11.575610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length14.001723
Min length14

Characters and Unicode

Total characters24377
Distinct characters17
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

Unique1739 ?
Unique (%)99.9%

Sample

1st row2023-충남보령-0225
2nd row2023-충남보령-0224
3rd row2023-충남보령-0223
4th row2023-충남보령-0222
5th row2023-충남보령-0221
ValueCountFrequency (%)
2022-충남보령-0007 2
 
0.1%
2017 2
 
0.1%
2018-충남보령-0001 1
 
0.1%
2017-충남보령-0144 1
 
0.1%
2017-충남보령-0145 1
 
0.1%
2017-충남보령-0146 1
 
0.1%
2017-충남보령-0148 1
 
0.1%
2017-충남보령-0149 1
 
0.1%
충남보령-0150 1
 
0.1%
2017-충남보령-0151 1
 
0.1%
Other values (1732) 1732
99.3%
2023-12-12T18:15:12.052984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4807
19.7%
- 3482
14.3%
2 3417
14.0%
1 1995
8.2%
충 1741
 
7.1%
보 1741
 
7.1%
령 1741
 
7.1%
남 1740
 
7.1%
3 670
 
2.7%
7 532
 
2.2%
Other values (7) 2511
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13928
57.1%
Other Letter 6964
28.6%
Dash Punctuation 3482
 
14.3%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4807
34.5%
2 3417
24.5%
1 1995
14.3%
3 670
 
4.8%
7 532
 
3.8%
8 530
 
3.8%
5 526
 
3.8%
6 492
 
3.5%
4 480
 
3.4%
9 479
 
3.4%
Other Letter
ValueCountFrequency (%)
충 1741
25.0%
보 1741
25.0%
령 1741
25.0%
남 1740
25.0%
납 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 3482
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17413
71.4%
Hangul 6964
 
28.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4807
27.6%
- 3482
20.0%
2 3417
19.6%
1 1995
11.5%
3 670
 
3.8%
7 532
 
3.1%
8 530
 
3.0%
5 526
 
3.0%
6 492
 
2.8%
4 480
 
2.8%
Other values (2) 482
 
2.8%
Hangul
ValueCountFrequency (%)
충 1741
25.0%
보 1741
25.0%
령 1741
25.0%
남 1740
25.0%
납 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17413
71.4%
Hangul 6964
 
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4807
27.6%
- 3482
20.0%
2 3417
19.6%
1 1995
11.5%
3 670
 
3.8%
7 532
 
3.1%
8 530
 
3.0%
5 526
 
3.0%
6 492
 
2.8%
4 480
 
2.8%
Other values (2) 482
 
2.8%
Hangul
ValueCountFrequency (%)
충 1741
25.0%
보 1741
25.0%
령 1741
25.0%
남 1740
25.0%
납 1
 
< 0.1%

법인또는상호
Text

Distinct1705
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size13.7 KiB
2023-12-12T18:15:12.346516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length25
Mean length6.3561172
Min length2

Characters and Unicode

Total characters11066
Distinct characters732
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1671 ?
Unique (%)96.0%

Sample

1st row꽃블라송
2nd row넙치민박
3rd row리치밸리
4th row아이올라
5th row아꽁꽁
ValueCountFrequency (%)
주식회사 91
 
4.2%
농업회사법인 20
 
0.9%
펜션 15
 
0.7%
인셀덤 9
 
0.4%
주 9
 
0.4%
유한회사 8
 
0.4%
보령점 8
 
0.4%
영농조합법인 8
 
0.4%
보령 7
 
0.3%
더 5
 
0.2%
Other values (1893) 1987
91.7%
2023-12-12T18:15:12.868496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
434
 
3.9%
이 253
 
2.3%
사 211
 
1.9%
산 189
 
1.7%
스 183
 
1.7%
주 181
 
1.6%
리 179
 
1.6%
회 167
 
1.5%
수 162
 
1.5%
보 160
 
1.4%
Other values (722) 8947
80.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9588
86.6%
Space Separator 434
 
3.9%
Lowercase Letter 368
 
3.3%
Uppercase Letter 300
 
2.7%
Close Punctuation 139
 
1.3%
Open Punctuation 138
 
1.2%
Decimal Number 67
 
0.6%
Other Punctuation 17
 
0.2%
Dash Punctuation 9
 
0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 253
 
2.6%
사 211
 
2.2%
산 189
 
2.0%
스 183
 
1.9%
주 181
 
1.9%
리 179
 
1.9%
회 167
 
1.7%
수 162
 
1.7%
보 160
 
1.7%
션 154
 
1.6%
Other values (649) 7749
80.8%
Uppercase Letter
ValueCountFrequency (%)
O 29
 
9.7%
A 24
 
8.0%
N 20
 
6.7%
L 19
 
6.3%
S 19
 
6.3%
R 18
 
6.0%
M 18
 
6.0%
I 15
 
5.0%
P 15
 
5.0%
D 13
 
4.3%
Other values (16) 110
36.7%
Lowercase Letter
ValueCountFrequency (%)
o 45
12.2%
e 42
11.4%
i 33
 
9.0%
n 30
 
8.2%
r 29
 
7.9%
a 29
 
7.9%
t 21
 
5.7%
u 20
 
5.4%
s 17
 
4.6%
m 15
 
4.1%
Other values (15) 87
23.6%
Decimal Number
ValueCountFrequency (%)
1 15
22.4%
0 14
20.9%
2 12
17.9%
3 7
10.4%
8 5
 
7.5%
7 3
 
4.5%
4 3
 
4.5%
9 3
 
4.5%
6 3
 
4.5%
5 2
 
3.0%
Other Punctuation
ValueCountFrequency (%)
& 8
47.1%
. 4
23.5%
: 3
 
17.6%
' 1
 
5.9%
# 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 138
99.3%
） 1
 
0.7%
Space Separator
ValueCountFrequency (%)
434
100.0%
Open Punctuation
ValueCountFrequency (%)
( 138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9589
86.7%
Common 806
 
7.3%
Latin 668
 
6.0%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 253
 
2.6%
사 211
 
2.2%
산 189
 
2.0%
스 183
 
1.9%
주 181
 
1.9%
리 179
 
1.9%
회 167
 
1.7%
수 162
 
1.7%
보 160
 
1.7%
션 154
 
1.6%
Other values (647) 7750
80.8%
Latin
ValueCountFrequency (%)
o 45
 
6.7%
e 42
 
6.3%
i 33
 
4.9%
n 30
 
4.5%
O 29
 
4.3%
r 29
 
4.3%
a 29
 
4.3%
A 24
 
3.6%
t 21
 
3.1%
u 20
 
3.0%
Other values (41) 366
54.8%
Common
ValueCountFrequency (%)
434
53.8%
( 138
 
17.1%
) 138
 
17.1%
1 15
 
1.9%
0 14
 
1.7%
2 12
 
1.5%
- 9
 
1.1%
& 8
 
1.0%
3 7
 
0.9%
8 5
 
0.6%
Other values (11) 26
 
3.2%
Han
ValueCountFrequency (%)
愛 1
33.3%
新 1
33.3%
美 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9585
86.6%
ASCII 1473
 
13.3%
None 5
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
434
29.5%
( 138
 
9.4%
) 138
 
9.4%
o 45
 
3.1%
e 42
 
2.9%
i 33
 
2.2%
n 30
 
2.0%
O 29
 
2.0%
r 29
 
2.0%
a 29
 
2.0%
Other values (61) 526
35.7%
Hangul
ValueCountFrequency (%)
이 253
 
2.6%
사 211
 
2.2%
산 189
 
2.0%
스 183
 
1.9%
주 181
 
1.9%
리 179
 
1.9%
회 167
 
1.7%
수 162
 
1.7%
보 160
 
1.7%
션 154
 
1.6%
Other values (646) 7746
80.8%
None
ValueCountFrequency (%)
㈜ 4
80.0%
） 1
 
20.0%
CJK
ValueCountFrequency (%)
愛 1
33.3%
新 1
33.3%
美 1
33.3%

운영상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.7 KiB
정상영업
1740 
영업재개
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row정상영업
2nd row정상영업
3rd row정상영업
4th row정상영업
5th row정상영업

Common Values

ValueCountFrequency (%)
정상영업 1740
99.9%
영업재개 1
 
0.1%

Length

2023-12-12T18:15:13.085716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:15:13.214840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 1740
99.9%
영업재개 1
 
0.1%

법인구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.7 KiB
개인
1497 
법인
239 
<NA>
 
5

Length

Max length4
Median length2
Mean length2.0057438
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 1497
86.0%
법인 239
 
13.7%
<NA> 5
 
0.3%

Length

2023-12-12T18:15:13.403432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:15:13.580851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 1497
86.0%
법인 239
 
13.7%
na 5
 
0.3%

소재지우편번호
Text

MISSING 

Distinct184
Distinct (%)11.1%
Missing81
Missing (%)4.7%
Memory size13.7 KiB
2023-12-12T18:15:13.982570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3060241
Min length5

Characters and Unicode

Total characters8808
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

Unique32 ?
Unique (%)1.9%

Sample

1st row33477
2nd row33491
3rd row33491
4th row33445
5th row33512
ValueCountFrequency (%)
33488 103
 
6.2%
33491 78
 
4.7%
355-943 68
 
4.1%
33489 61
 
3.7%
33490 60
 
3.6%
33430 47
 
2.8%
33475 45
 
2.7%
33508 34
 
2.0%
33452 29
 
1.7%
33464 28
 
1.7%
Other values (174) 1107
66.7%
2023-12-12T18:15:14.585869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 3466
39.4%
4 1619
18.4%
5 940
 
10.7%
9 542
 
6.2%
8 526
 
6.0%
1 390
 
4.4%
0 383
 
4.3%
2 283
 
3.2%
- 254
 
2.9%
7 224
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8554
97.1%
Dash Punctuation 254
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 3466
40.5%
4 1619
18.9%
5 940
 
11.0%
9 542
 
6.3%
8 526
 
6.1%
1 390
 
4.6%
0 383
 
4.5%
2 283
 
3.3%
7 224
 
2.6%
6 181
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 254
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8808
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 3466
39.4%
4 1619
18.4%
5 940
 
10.7%
9 542
 
6.2%
8 526
 
6.0%
1 390
 
4.4%
0 383
 
4.3%
2 283
 
3.2%
- 254
 
2.9%
7 224
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8808
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 3466
39.4%
4 1619
18.4%
5 940
 
10.7%
9 542
 
6.2%
8 526
 
6.0%
1 390
 
4.4%
0 383
 
4.3%
2 283
 
3.2%
- 254
 
2.9%
7 224
 
2.5%

소재지주소
Text

Distinct1568
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size13.7 KiB
2023-12-12T18:15:15.050844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length53
Mean length27.309592
Min length15

Characters and Unicode

Total characters47546
Distinct characters397
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

Unique1442 ?
Unique (%)82.8%

Sample

1st row충청남도 보령시 주공로 33， 121동 107호 (동대동， 동대주공 1차， 2차， 3차 아파트)
2nd row충청남도 보령시 통나무마을1길 52 (신흑동)
3rd row충청남도 보령시 통나무마을1길 39 (신흑동)
4th row충청남도 보령시 봉황로 116， 106동 302호 (죽정동， 대우아파트)
5th row충청남도 보령시 미산면 판미로 1310-18
ValueCountFrequency (%)
충청남도 1741
 
17.3%
보령시 1737
 
17.2%
신흑동 318
 
3.2%
대천동 177
 
1.8%
웅천읍 120
 
1.2%
동대동 109
 
1.1%
남포면 108
 
1.1%
1층 102
 
1.0%
명천동， 84
 
0.8%
동대동， 74
 
0.7%
Other values (1715) 5522
54.7%
2023-12-12T18:15:15.647679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8356
 
17.6%
남 1927
 
4.1%
1 1906
 
4.0%
청 1871
 
3.9%
보 1866
 
3.9%
시 1847
 
3.9%
령 1832
 
3.9%
도 1790
 
3.8%
충 1776
 
3.7%
동 1720
 
3.6%
Other values (387) 22655
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27592
58.0%
Space Separator 8356
 
17.6%
Decimal Number 7811
 
16.4%
Open Punctuation 1114
 
2.3%
Close Punctuation 1114
 
2.3%
Other Punctuation 986
 
2.1%
Dash Punctuation 499
 
1.0%
Uppercase Letter 45
 
0.1%
Lowercase Letter 29
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1927
 
7.0%
청 1871
 
6.8%
보 1866
 
6.8%
시 1847
 
6.7%
령 1832
 
6.6%
도 1790
 
6.5%
충 1776
 
6.4%
동 1720
 
6.2%
길 1000
 
3.6%
천 883
 
3.2%
Other values (346) 11080
40.2%
Uppercase Letter
ValueCountFrequency (%)
H 11
24.4%
L 11
24.4%
B 6
13.3%
A 4
 
8.9%
C 3
 
6.7%
P 2
 
4.4%
F 1
 
2.2%
R 1
 
2.2%
D 1
 
2.2%
V 1
 
2.2%
Other values (4) 4
 
8.9%
Lowercase Letter
ValueCountFrequency (%)
e 9
31.0%
s 4
13.8%
a 3
 
10.3%
k 3
 
10.3%
l 3
 
10.3%
y 2
 
6.9%
b 1
 
3.4%
i 1
 
3.4%
r 1
 
3.4%
d 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
1 1906
24.4%
2 1075
13.8%
0 964
12.3%
3 891
11.4%
4 665
 
8.5%
6 596
 
7.6%
5 546
 
7.0%
7 409
 
5.2%
9 403
 
5.2%
8 356
 
4.6%
Other Punctuation
ValueCountFrequency (%)
， 985
99.9%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8356
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 499
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27592
58.0%
Common 19880
41.8%
Latin 74
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1927
 
7.0%
청 1871
 
6.8%
보 1866
 
6.8%
시 1847
 
6.7%
령 1832
 
6.6%
도 1790
 
6.5%
충 1776
 
6.4%
동 1720
 
6.2%
길 1000
 
3.6%
천 883
 
3.2%
Other values (346) 11080
40.2%
Latin
ValueCountFrequency (%)
H 11
14.9%
L 11
14.9%
e 9
12.2%
B 6
 
8.1%
s 4
 
5.4%
A 4
 
5.4%
a 3
 
4.1%
C 3
 
4.1%
k 3
 
4.1%
l 3
 
4.1%
Other values (15) 17
23.0%
Common
ValueCountFrequency (%)
8356
42.0%
1 1906
 
9.6%
( 1114
 
5.6%
) 1114
 
5.6%
2 1075
 
5.4%
， 985
 
5.0%
0 964
 
4.8%
3 891
 
4.5%
4 665
 
3.3%
6 596
 
3.0%
Other values (6) 2214
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27592
58.0%
ASCII 18969
39.9%
None 985
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8356
44.1%
1 1906
 
10.0%
( 1114
 
5.9%
) 1114
 
5.9%
2 1075
 
5.7%
0 964
 
5.1%
3 891
 
4.7%
4 665
 
3.5%
6 596
 
3.1%
5 546
 
2.9%
Other values (30) 1742
 
9.2%
Hangul
ValueCountFrequency (%)
남 1927
 
7.0%
청 1871
 
6.8%
보 1866
 
6.8%
시 1847
 
6.7%
령 1832
 
6.6%
도 1790
 
6.5%
충 1776
 
6.4%
동 1720
 
6.2%
길 1000
 
3.6%
천 883
 
3.2%
Other values (346) 11080
40.2%
None
ValueCountFrequency (%)
， 985
100.0%

도메인명
Text

MISSING 

Distinct751
Distinct (%)85.0%
Missing857
Missing (%)49.2%
Memory size13.7 KiB
2023-12-12T18:15:15.974631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length42
Mean length20.30543
Min length2

Characters and Unicode

Total characters17950
Distinct characters241
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

Unique704 ?
Unique (%)79.6%

Sample

1st rowhttps://smartstore.naver.com/nower_
2nd rowhttps://koexunion.com/
3rd rowwww.36gim.com
4th rownaver
5th rowhttp://smartstore.naver.com/arasso
ValueCountFrequency (%)
네이버 21
 
2.2%
http://mall.epost.go.kr 20
 
2.1%
www.auction.co.kr 19
 
2.0%
스마트스토어 13
 
1.4%
옥션 12
 
1.2%
www.naver.com 11
 
1.1%
www.gmarket.co.kr 11
 
1.1%
www.11st.co.kr 10
 
1.0%
11번가 10
 
1.0%
g마켓 8
 
0.8%
Other values (755) 825
85.9%
2023-12-12T18:15:16.520778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1768
 
9.8%
o 1467
 
8.2%
w 1412
 
7.9%
t 1058
 
5.9%
r 1025
 
5.7%
a 941
 
5.2%
m 908
 
5.1%
e 905
 
5.0%
c 854
 
4.8%
n 737
 
4.1%
Other values (231) 6875
38.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13815
77.0%
Other Punctuation 2766
 
15.4%
Other Letter 704
 
3.9%
Decimal Number 471
 
2.6%
Space Separator 89
 
0.5%
Uppercase Letter 46
 
0.3%
Dash Punctuation 27
 
0.2%
Connector Punctuation 25
 
0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 58
 
8.2%
이 44
 
6.2%
마 40
 
5.7%
어 35
 
5.0%
네 33
 
4.7%
버 33
 
4.7%
토 30
 
4.3%
트 24
 
3.4%
션 22
 
3.1%
켓 15
 
2.1%
Other values (161) 370
52.6%
Lowercase Letter
ValueCountFrequency (%)
o 1467
 
10.6%
w 1412
 
10.2%
t 1058
 
7.7%
r 1025
 
7.4%
a 941
 
6.8%
m 908
 
6.6%
e 905
 
6.6%
c 854
 
6.2%
n 737
 
5.3%
s 704
 
5.1%
Other values (16) 3804
27.5%
Uppercase Letter
ValueCountFrequency (%)
G 5
 
10.9%
N 5
 
10.9%
A 4
 
8.7%
L 4
 
8.7%
B 3
 
6.5%
W 3
 
6.5%
E 2
 
4.3%
M 2
 
4.3%
F 2
 
4.3%
D 2
 
4.3%
Other values (11) 14
30.4%
Decimal Number
ValueCountFrequency (%)
1 126
26.8%
2 61
13.0%
0 59
12.5%
7 39
 
8.3%
3 37
 
7.9%
5 36
 
7.6%
8 33
 
7.0%
4 31
 
6.6%
9 30
 
6.4%
6 19
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 1768
63.9%
/ 729
26.4%
: 260
 
9.4%
@ 5
 
0.2%
% 2
 
0.1%
! 1
 
< 0.1%
# 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13861
77.2%
Common 3385
 
18.9%
Hangul 704
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 58
 
8.2%
이 44
 
6.2%
마 40
 
5.7%
어 35
 
5.0%
네 33
 
4.7%
버 33
 
4.7%
토 30
 
4.3%
트 24
 
3.4%
션 22
 
3.1%
켓 15
 
2.1%
Other values (161) 370
52.6%
Latin
ValueCountFrequency (%)
o 1467
 
10.6%
w 1412
 
10.2%
t 1058
 
7.6%
r 1025
 
7.4%
a 941
 
6.8%
m 908
 
6.6%
e 905
 
6.5%
c 854
 
6.2%
n 737
 
5.3%
s 704
 
5.1%
Other values (37) 3850
27.8%
Common
ValueCountFrequency (%)
. 1768
52.2%
/ 729
21.5%
: 260
 
7.7%
1 126
 
3.7%
89
 
2.6%
2 61
 
1.8%
0 59
 
1.7%
7 39
 
1.2%
3 37
 
1.1%
5 36
 
1.1%
Other values (13) 181
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17246
96.1%
Hangul 704
 
3.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1768
 
10.3%
o 1467
 
8.5%
w 1412
 
8.2%
t 1058
 
6.1%
r 1025
 
5.9%
a 941
 
5.5%
m 908
 
5.3%
e 905
 
5.2%
c 854
 
5.0%
n 737
 
4.3%
Other values (60) 6171
35.8%
Hangul
ValueCountFrequency (%)
스 58
 
8.2%
이 44
 
6.2%
마 40
 
5.7%
어 35
 
5.0%
네 33
 
4.7%
버 33
 
4.7%
토 30
 
4.3%
트 24
 
3.4%
션 22
 
3.1%
켓 15
 
2.1%
Other values (161) 370
52.6%

취급품목
Text

Distinct87
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size13.7 KiB
2023-12-12T18:15:16.740001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length76
Mean length5.5663412
Min length1

Characters and Unicode

Total characters9691
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

Unique57 ?
Unique (%)3.3%

Sample

1st row종합몰
2nd row레져+여행+공연
3rd row종합몰
4th row종합몰
5th row종합몰
ValueCountFrequency (%)
기타 676
33.2%
종합몰 491
24.1%
건강+식품 347
17.0%
의류+패션+잡화+뷰티 254
 
12.5%
레져+여행+공연 111
 
5.4%
컴퓨터+사무용품 37
 
1.8%
교육+도서+완구+오락 34
 
1.7%
가구+수납용품 28
 
1.4%
가전 22
 
1.1%
자동차+자동차용품 20
 
1.0%
Other values (3) 19
 
0.9%
2023-12-12T18:15:17.128437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 1523
 
15.7%
기 676
 
7.0%
타 676
 
7.0%
종 491
 
5.1%
합 491
 
5.1%
몰 491
 
5.1%
품 443
 
4.6%
건 347
 
3.6%
강 347
 
3.6%
식 347
 
3.6%
Other values (41) 3859
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7862
81.1%
Math Symbol 1523
 
15.7%
Space Separator 298
 
3.1%
Dash Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 676
 
8.6%
타 676
 
8.6%
종 491
 
6.2%
합 491
 
6.2%
몰 491
 
6.2%
품 443
 
5.6%
건 347
 
4.4%
강 347
 
4.4%
식 347
 
4.4%
화 254
 
3.2%
Other values (38) 3299
42.0%
Math Symbol
ValueCountFrequency (%)
+ 1523
100.0%
Space Separator
ValueCountFrequency (%)
298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7862
81.1%
Common 1829
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 676
 
8.6%
타 676
 
8.6%
종 491
 
6.2%
합 491
 
6.2%
몰 491
 
6.2%
품 443
 
5.6%
건 347
 
4.4%
강 347
 
4.4%
식 347
 
4.4%
화 254
 
3.2%
Other values (38) 3299
42.0%
Common
ValueCountFrequency (%)
+ 1523
83.3%
298
 
16.3%
- 8
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7862
81.1%
ASCII 1829
 
18.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 1523
83.3%
298
 
16.3%
- 8
 
0.4%
Hangul
ValueCountFrequency (%)
기 676
 
8.6%
타 676
 
8.6%
종 491
 
6.2%
합 491
 
6.2%
몰 491
 
6.2%
품 443
 
5.6%
건 347
 
4.4%
강 347
 
4.4%
식 347
 
4.4%
화 254
 
3.2%
Other values (38) 3299
42.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.7 KiB
2023-11-03
1741 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-03
2nd row2023-11-03
3rd row2023-11-03
4th row2023-11-03
5th row2023-11-03

Common Values

ValueCountFrequency (%)
2023-11-03 1741
100.0%

Length

2023-12-12T18:15:17.314050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:15:17.447199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-03 1741
100.0%

Interactions

2023-12-12T18:15:10.338740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:15:17.524034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호운영상태법인구분취급품목
번호1.0000.0030.1310.593
운영상태0.0031.0000.0000.000
법인구분0.1310.0001.0000.375
취급품목0.5930.0000.3751.000
2023-12-12T18:15:17.967710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인구분운영상태
법인구분1.0000.000
운영상태0.0001.000
2023-12-12T18:15:18.083024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호운영상태법인구분
번호1.0000.0020.100
운영상태0.0021.0000.000
법인구분0.1000.0001.000

Missing values

2023-12-12T18:15:10.528495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:15:10.710981image/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.
2023-12-12T18:15:10.876675image/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

번호관리번호법인또는상호운영상태법인구분소재지우편번호소재지주소도메인명취급품목데이터기준일
012023-충남보령-0225꽃블라송정상영업개인33477충청남도 보령시 주공로 33， 121동 107호 (동대동， 동대주공 1차， 2차， 3차 아파트)<NA>종합몰2023-11-03
122023-충남보령-0224넙치민박정상영업개인33491충청남도 보령시 통나무마을1길 52 (신흑동)<NA>레져+여행+공연2023-11-03
232023-충남보령-0223리치밸리정상영업개인33491충청남도 보령시 통나무마을1길 39 (신흑동)<NA>종합몰2023-11-03
342023-충남보령-0222아이올라정상영업개인33445충청남도 보령시 봉황로 116， 106동 302호 (죽정동， 대우아파트)<NA>종합몰2023-11-03
452023-충남보령-0221아꽁꽁정상영업개인33512충청남도 보령시 미산면 판미로 1310-18<NA>종합몰2023-11-03
562023-충남보령-0220과일파는언니(욱이네과일)정상영업개인33443충청남도 보령시 봉황로 54-3， 1층 (죽정동)<NA>종합몰2023-11-03
672023-충남보령-0219코스믹원정상영업개인33431충청남도 보령시 한내로터리길 92， 407동 202호 (동대동， 휴먼시아3단지，4단지주공아파트)<NA>종합몰2023-11-03
782023-충남보령-0218에이리드정상영업개인33475충청남도 보령시 흥곡천변로 85， 103동 601호 (명천동， 보령명천LH1단지)<NA>종합몰2023-11-03
892023-충남보령-0217나우어(nower)정상영업개인33477충청남도 보령시 주공로 33， 117동 403호 (동대동， 동대주공 1차， 2차， 3차 아파트)https://smartstore.naver.com/nower_종합몰2023-11-03
9102023-충남보령-0215모다정상영업개인33432충청남도 보령시 동현로 46， 203동 1005호 (동대동， 현대아파트)<NA>종합몰2023-11-03
번호관리번호법인또는상호운영상태법인구분소재지우편번호소재지주소도메인명취급품목데이터기준일
173117322004-충남보령-0083민희식품정상영업개인<NA>충청남도 보령시 주포면 도랑당길 29-1www.minheekim.net건강+식품2023-11-03
173217332004-충남보령-0078㈜해돌박이정상영업법인<NA>충청남도 보령시 웅천읍 산업단지길 52www.hdbe.co.kr건강+식품2023-11-03
173317342004-충남보령-0072창덕식품정상영업개인355-822충청남도 보령시 청소면 광천로 81-14www.changdukkim.com건강+식품2023-11-03
173417352003-충남보령-0054맛을아는 사람들정상영업개인<NA>충청남도 보령시 미산면 도화담안길 62-6맛을아는사람들.kr건강+식품2023-11-03
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