Overview

Dataset statistics

Number of variables7
Number of observations9773
Missing cells845
Missing cells (%)1.2%
Duplicate rows473
Duplicate rows (%)4.8%
Total size in memory544.1 KiB
Average record size in memory57.0 B

Variable types

Text4
Categorical2
Numeric1

Dataset

Description사회적 기업 상품 리스트에 대한 정보를 제공합니다.기업명 / 상품유형 / 카테고리(대) / 카테고리(중) / 상품명 / 판매단위 / 판매가격
Author한국사회적기업진흥원
URLhttps://www.data.go.kr/data/3071118/fileData.do

Alerts

Dataset has 473 (4.8%) duplicate rowsDuplicates
카테고리(대) is highly overall correlated with 상품유형High correlation
상품유형 is highly overall correlated with 카테고리(대)High correlation
상품유형 is highly imbalanced (86.0%)Imbalance
판매단위 has 845 (8.6%) missing valuesMissing
판매가격 has 282 (2.9%) zerosZeros

Reproduction

Analysis started2024-04-29 23:23:11.818416
Analysis finished2024-04-29 23:23:14.283100
Duration2.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct335
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
2024-04-30T08:23:14.419583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length6.359869
Min length2

Characters and Unicode

Total characters62155
Distinct characters395
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

Unique59 ?
Unique (%)0.6%

Sample

1st row(사)함께하는세상 삼우보호작업장
2nd row(복)무지개공동회 엠마우스산업
3rd row(복)무지개공동회 엠마우스산업
4th row(복)무지개공동회 엠마우스산업
5th row(복)무지개공동회 엠마우스산업
ValueCountFrequency (%)
아이밍키 1693
 
15.8%
㈜멘퍼스 1181
 
11.0%
㈜동연디자인 942
 
8.8%
주식회사 462
 
4.3%
㈜우리애그린 390
 
3.6%
㈜레드스톤시스템 362
 
3.4%
양원농장 270
 
2.5%
주성이엔지㈜ 228
 
2.1%
씨튼베이커리 171
 
1.6%
주식회사매직북스 161
 
1.5%
Other values (353) 4884
45.5%
2024-04-30T08:23:14.750724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4134
 
6.7%
3337
 
5.4%
2657
 
4.3%
2058
 
3.3%
2012
 
3.2%
1753
 
2.8%
1723
 
2.8%
1695
 
2.7%
1668
 
2.7%
) 1495
 
2.4%
Other values (385) 39623
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53951
86.8%
Other Symbol 4134
 
6.7%
Close Punctuation 1495
 
2.4%
Open Punctuation 1461
 
2.4%
Space Separator 971
 
1.6%
Uppercase Letter 121
 
0.2%
Decimal Number 9
 
< 0.1%
Other Punctuation 8
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3337
 
6.2%
2657
 
4.9%
2058
 
3.8%
2012
 
3.7%
1753
 
3.2%
1723
 
3.2%
1695
 
3.1%
1668
 
3.1%
1240
 
2.3%
1181
 
2.2%
Other values (360) 34627
64.2%
Uppercase Letter
ValueCountFrequency (%)
M 21
17.4%
R 19
15.7%
O 19
15.7%
Z 11
9.1%
D 11
9.1%
P 9
7.4%
B 8
 
6.6%
N 5
 
4.1%
A 5
 
4.1%
F 4
 
3.3%
Other values (4) 9
7.4%
Lowercase Letter
ValueCountFrequency (%)
k 1
20.0%
u 1
20.0%
e 1
20.0%
h 1
20.0%
m 1
20.0%
Other Symbol
ValueCountFrequency (%)
4134
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1495
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1461
100.0%
Space Separator
ValueCountFrequency (%)
971
100.0%
Decimal Number
ValueCountFrequency (%)
7 9
100.0%
Other Punctuation
ValueCountFrequency (%)
& 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58085
93.5%
Common 3944
 
6.3%
Latin 126
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4134
 
7.1%
3337
 
5.7%
2657
 
4.6%
2058
 
3.5%
2012
 
3.5%
1753
 
3.0%
1723
 
3.0%
1695
 
2.9%
1668
 
2.9%
1240
 
2.1%
Other values (361) 35808
61.6%
Latin
ValueCountFrequency (%)
M 21
16.7%
R 19
15.1%
O 19
15.1%
Z 11
8.7%
D 11
8.7%
P 9
7.1%
B 8
 
6.3%
N 5
 
4.0%
A 5
 
4.0%
F 4
 
3.2%
Other values (9) 14
11.1%
Common
ValueCountFrequency (%)
) 1495
37.9%
( 1461
37.0%
971
24.6%
7 9
 
0.2%
& 8
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53951
86.8%
None 4134
 
6.7%
ASCII 4070
 
6.5%

Most frequent character per block

None
ValueCountFrequency (%)
4134
100.0%
Hangul
ValueCountFrequency (%)
3337
 
6.2%
2657
 
4.9%
2058
 
3.8%
2012
 
3.7%
1753
 
3.2%
1723
 
3.2%
1695
 
3.1%
1668
 
3.1%
1240
 
2.3%
1181
 
2.2%
Other values (360) 34627
64.2%
ASCII
ValueCountFrequency (%)
) 1495
36.7%
( 1461
35.9%
971
23.9%
M 21
 
0.5%
R 19
 
0.5%
O 19
 
0.5%
Z 11
 
0.3%
D 11
 
0.3%
7 9
 
0.2%
P 9
 
0.2%
Other values (14) 44
 
1.1%

상품유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
제품
9580 
서비스
 
193

Length

Max length3
Median length2
Mean length2.0197483
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제품 9580
98.0%
서비스 193
 
2.0%

Length

2024-04-30T08:23:14.894062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:23:14.988829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제품 9580
98.0%
서비스 193
 
2.0%

카테고리(대)
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
가구/인테리어
2590 
식품
1653 
출산/육아용품
1214 
생활/취미용품
1170 
컴퓨터/주변기기/전자
710 
Other values (29)
2436 

Length

Max length14
Median length7
Mean length5.9910979
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row문구/사무용품
2nd row섬유/고무/위생
3rd row섬유/고무/위생
4th row섬유/고무/위생
5th row섬유/고무/위생

Common Values

ValueCountFrequency (%)
가구/인테리어 2590
26.5%
식품 1653
16.9%
출산/육아용품 1214
12.4%
생활/취미용품 1170
12.0%
컴퓨터/주변기기/전자 710
 
7.3%
패션의류/잡화 443
 
4.5%
교육용품 434
 
4.4%
기타 287
 
2.9%
식물류 237
 
2.4%
토목/건축 199
 
2.0%
Other values (24) 836
 
8.6%

Length

2024-04-30T08:23:15.094121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가구/인테리어 2590
26.4%
식품 1653
16.9%
출산/육아용품 1214
12.4%
생활/취미용품 1170
11.9%
컴퓨터/주변기기/전자 710
 
7.2%
패션의류/잡화 443
 
4.5%
교육용품 434
 
4.4%
기타 287
 
2.9%
식물류 237
 
2.4%
토목/건축 199
 
2.0%
Other values (25) 866
 
8.8%
Distinct133
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
2024-04-30T08:23:15.339090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.24097
Min length2

Characters and Unicode

Total characters60993
Distinct characters215
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)0.1%

Sample

1st row복사용지
2nd row위생용품
3rd row위생용품
4th row위생용품
5th row위생용품
ValueCountFrequency (%)
서재/사무용가구 1938
 
17.1%
770
 
6.8%
기타 406
 
3.6%
개인용컴퓨터 403
 
3.6%
신생아/유아의류 385
 
3.4%
유아잡화 347
 
3.1%
생활/위생용품 343
 
3.0%
건강식품 342
 
3.0%
유아침구/가구 292
 
2.6%
정원/원예용품 291
 
2.6%
Other values (141) 5831
51.4%
2024-04-30T08:23:15.707758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 5742
 
9.4%
4071
 
6.7%
3240
 
5.3%
2811
 
4.6%
2509
 
4.1%
2062
 
3.4%
2043
 
3.3%
1994
 
3.3%
1961
 
3.2%
1575
 
2.6%
Other values (205) 32985
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53599
87.9%
Other Punctuation 5742
 
9.4%
Space Separator 1575
 
2.6%
Uppercase Letter 77
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4071
 
7.6%
3240
 
6.0%
2811
 
5.2%
2509
 
4.7%
2062
 
3.8%
2043
 
3.8%
1994
 
3.7%
1961
 
3.7%
1409
 
2.6%
1349
 
2.5%
Other values (196) 30150
56.3%
Uppercase Letter
ValueCountFrequency (%)
C 21
27.3%
P 21
27.3%
Y 11
14.3%
I 11
14.3%
D 11
14.3%
S 1
 
1.3%
W 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
/ 5742
100.0%
Space Separator
ValueCountFrequency (%)
1575
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53599
87.9%
Common 7317
 
12.0%
Latin 77
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4071
 
7.6%
3240
 
6.0%
2811
 
5.2%
2509
 
4.7%
2062
 
3.8%
2043
 
3.8%
1994
 
3.7%
1961
 
3.7%
1409
 
2.6%
1349
 
2.5%
Other values (196) 30150
56.3%
Latin
ValueCountFrequency (%)
C 21
27.3%
P 21
27.3%
Y 11
14.3%
I 11
14.3%
D 11
14.3%
S 1
 
1.3%
W 1
 
1.3%
Common
ValueCountFrequency (%)
/ 5742
78.5%
1575
 
21.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53599
87.9%
ASCII 7394
 
12.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 5742
77.7%
1575
 
21.3%
C 21
 
0.3%
P 21
 
0.3%
Y 11
 
0.1%
I 11
 
0.1%
D 11
 
0.1%
S 1
 
< 0.1%
W 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
4071
 
7.6%
3240
 
6.0%
2811
 
5.2%
2509
 
4.7%
2062
 
3.8%
2043
 
3.8%
1994
 
3.7%
1961
 
3.7%
1409
 
2.6%
1349
 
2.5%
Other values (196) 30150
56.3%
Distinct6597
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
2024-04-30T08:23:15.950141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length81
Mean length15.510693
Min length1

Characters and Unicode

Total characters151586
Distinct characters983
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4493 ?
Unique (%)46.0%

Sample

1st row친환경 복사용지 A4 75g
2nd row자연그대로 핸드타올
3rd row행복예감 70
4th row행복예감 점보500
5th row천연 행복예감 50팩
ValueCountFrequency (%)
577
 
2.3%
작업용의자 523
 
2.1%
데스크톱컴퓨터 327
 
1.3%
사물함 273
 
1.1%
회의용탁자 255
 
1.0%
intel 209
 
0.8%
레드스톤시스템 198
 
0.8%
core 190
 
0.8%
선물세트 184
 
0.7%
vito 156
 
0.6%
Other values (7539) 22002
88.4%
2024-04-30T08:23:16.349254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15327
 
10.1%
0 3737
 
2.5%
- 3100
 
2.0%
2626
 
1.7%
2577
 
1.7%
1 2523
 
1.7%
1860
 
1.2%
2 1765
 
1.2%
_ 1600
 
1.1%
S 1577
 
1.0%
Other values (973) 114894
75.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87425
57.7%
Uppercase Letter 16535
 
10.9%
Space Separator 15327
 
10.1%
Decimal Number 13635
 
9.0%
Lowercase Letter 5680
 
3.7%
Dash Punctuation 3100
 
2.0%
Other Punctuation 2961
 
2.0%
Open Punctuation 2540
 
1.7%
Close Punctuation 2526
 
1.7%
Connector Punctuation 1600
 
1.1%
Other values (6) 257
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2626
 
3.0%
2577
 
2.9%
1860
 
2.1%
1537
 
1.8%
1461
 
1.7%
1351
 
1.5%
1304
 
1.5%
1268
 
1.5%
1054
 
1.2%
1034
 
1.2%
Other values (878) 71353
81.6%
Uppercase Letter
ValueCountFrequency (%)
S 1577
 
9.5%
M 1528
 
9.2%
C 1253
 
7.6%
F 1214
 
7.3%
A 1087
 
6.6%
L 960
 
5.8%
D 941
 
5.7%
I 895
 
5.4%
T 756
 
4.6%
R 748
 
4.5%
Other values (17) 5576
33.7%
Lowercase Letter
ValueCountFrequency (%)
g 758
13.3%
e 752
13.2%
l 556
9.8%
t 480
8.5%
o 460
8.1%
i 423
7.4%
m 403
7.1%
r 398
7.0%
n 311
 
5.5%
u 160
 
2.8%
Other values (15) 979
17.2%
Other Punctuation
ValueCountFrequency (%)
, 1311
44.3%
/ 1094
36.9%
: 119
 
4.0%
& 115
 
3.9%
* 94
 
3.2%
; 90
 
3.0%
. 76
 
2.6%
% 29
 
1.0%
! 16
 
0.5%
# 12
 
0.4%
Other values (2) 5
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 3737
27.4%
1 2523
18.5%
2 1765
12.9%
5 1434
 
10.5%
3 1121
 
8.2%
6 878
 
6.4%
4 860
 
6.3%
8 576
 
4.2%
7 453
 
3.3%
9 288
 
2.1%
Math Symbol
ValueCountFrequency (%)
+ 204
90.7%
~ 10
 
4.4%
| 4
 
1.8%
= 4
 
1.8%
× 2
 
0.9%
± 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 1466
57.7%
[ 1073
42.2%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 1454
57.6%
] 1071
42.4%
1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
4
50.0%
4
50.0%
Space Separator
ValueCountFrequency (%)
15327
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3100
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1600
100.0%
Control
ValueCountFrequency (%)
20
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87384
57.6%
Common 41944
27.7%
Latin 22217
 
14.7%
Han 41
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2626
 
3.0%
2577
 
2.9%
1860
 
2.1%
1537
 
1.8%
1461
 
1.7%
1351
 
1.5%
1304
 
1.5%
1268
 
1.5%
1054
 
1.2%
1034
 
1.2%
Other values (867) 71312
81.6%
Latin
ValueCountFrequency (%)
S 1577
 
7.1%
M 1528
 
6.9%
C 1253
 
5.6%
F 1214
 
5.5%
A 1087
 
4.9%
L 960
 
4.3%
D 941
 
4.2%
I 895
 
4.0%
g 758
 
3.4%
T 756
 
3.4%
Other values (43) 11248
50.6%
Common
ValueCountFrequency (%)
15327
36.5%
0 3737
 
8.9%
- 3100
 
7.4%
1 2523
 
6.0%
2 1765
 
4.2%
_ 1600
 
3.8%
( 1466
 
3.5%
) 1454
 
3.5%
5 1434
 
3.4%
, 1311
 
3.1%
Other values (32) 8227
19.6%
Han
ValueCountFrequency (%)
18
43.9%
6
 
14.6%
5
 
12.2%
3
 
7.3%
2
 
4.9%
2
 
4.9%
1
 
2.4%
1
 
2.4%
1
 
2.4%
1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87379
57.6%
ASCII 64140
42.3%
CJK 39
 
< 0.1%
None 9
 
< 0.1%
Misc Symbols 8
 
< 0.1%
Compat Jamo 5
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Number Forms 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15327
23.9%
0 3737
 
5.8%
- 3100
 
4.8%
1 2523
 
3.9%
2 1765
 
2.8%
_ 1600
 
2.5%
S 1577
 
2.5%
M 1528
 
2.4%
( 1466
 
2.3%
) 1454
 
2.3%
Other values (74) 30063
46.9%
Hangul
ValueCountFrequency (%)
2626
 
3.0%
2577
 
2.9%
1860
 
2.1%
1537
 
1.8%
1461
 
1.7%
1351
 
1.5%
1304
 
1.5%
1268
 
1.5%
1054
 
1.2%
1034
 
1.2%
Other values (865) 71307
81.6%
CJK
ValueCountFrequency (%)
18
46.2%
6
 
15.4%
5
 
12.8%
3
 
7.7%
2
 
5.1%
1
 
2.6%
1
 
2.6%
1
 
2.6%
1
 
2.6%
1
 
2.6%
Misc Symbols
ValueCountFrequency (%)
4
50.0%
4
50.0%
Compat Jamo
ValueCountFrequency (%)
3
60.0%
2
40.0%
None
ValueCountFrequency (%)
· 3
33.3%
× 2
22.2%
1
 
11.1%
1
 
11.1%
Ø 1
 
11.1%
± 1
 
11.1%
CJK Compat Ideographs
ValueCountFrequency (%)
2
100.0%
Number Forms
ValueCountFrequency (%)
2
100.0%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%

판매단위
Text

MISSING 

Distinct518
Distinct (%)5.8%
Missing845
Missing (%)8.6%
Memory size76.5 KiB
2024-04-30T08:23:16.610052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length2
Mean length3.0404346
Min length1

Characters and Unicode

Total characters27145
Distinct characters225
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)2.4%

Sample

1st row1박스 (2500매)
2nd row1박스(50밴드)
3rd row1세트(100롤)
4th row1박스(16롤)
5th row1세트(60롤)
ValueCountFrequency (%)
1개 5445
56.0%
없음 976
 
10.0%
1대 219
 
2.3%
1박스 187
 
1.9%
1 164
 
1.7%
132
 
1.4%
1봉 128
 
1.3%
1세트 90
 
0.9%
x 78
 
0.8%
1ea 67
 
0.7%
Other values (539) 2245
23.1%
2024-04-30T08:23:17.011381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7806
28.8%
5853
21.6%
0 1608
 
5.9%
982
 
3.6%
976
 
3.6%
807
 
3.0%
( 682
 
2.5%
) 682
 
2.5%
g 585
 
2.2%
2 467
 
1.7%
Other values (215) 6697
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11760
43.3%
Decimal Number 10953
40.3%
Lowercase Letter 1251
 
4.6%
Space Separator 807
 
3.0%
Open Punctuation 682
 
2.5%
Close Punctuation 682
 
2.5%
Other Punctuation 478
 
1.8%
Uppercase Letter 437
 
1.6%
Math Symbol 46
 
0.2%
Letter Number 30
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5853
49.8%
982
 
8.4%
976
 
8.3%
437
 
3.7%
430
 
3.7%
295
 
2.5%
286
 
2.4%
264
 
2.2%
237
 
2.0%
106
 
0.9%
Other values (167) 1894
 
16.1%
Lowercase Letter
ValueCountFrequency (%)
g 585
46.8%
m 256
20.5%
k 112
 
9.0%
x 92
 
7.4%
a 48
 
3.8%
l 40
 
3.2%
e 38
 
3.0%
o 21
 
1.7%
b 20
 
1.6%
p 17
 
1.4%
Other values (4) 22
 
1.8%
Decimal Number
ValueCountFrequency (%)
1 7806
71.3%
0 1608
 
14.7%
2 467
 
4.3%
5 327
 
3.0%
3 285
 
2.6%
4 163
 
1.5%
6 129
 
1.2%
8 96
 
0.9%
7 46
 
0.4%
9 26
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
E 119
27.2%
A 117
26.8%
T 85
19.5%
X 41
 
9.4%
O 27
 
6.2%
B 27
 
6.2%
L 13
 
3.0%
M 3
 
0.7%
S 3
 
0.7%
P 2
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 254
53.1%
* 160
33.5%
/ 52
 
10.9%
. 9
 
1.9%
: 3
 
0.6%
Math Symbol
ValueCountFrequency (%)
+ 37
80.4%
= 6
 
13.0%
± 2
 
4.3%
~ 1
 
2.2%
Space Separator
ValueCountFrequency (%)
807
100.0%
Open Punctuation
ValueCountFrequency (%)
( 682
100.0%
Close Punctuation
ValueCountFrequency (%)
) 682
100.0%
Letter Number
ValueCountFrequency (%)
30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13667
50.3%
Hangul 11760
43.3%
Latin 1718
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5853
49.8%
982
 
8.4%
976
 
8.3%
437
 
3.7%
430
 
3.7%
295
 
2.5%
286
 
2.4%
264
 
2.2%
237
 
2.0%
106
 
0.9%
Other values (167) 1894
 
16.1%
Latin
ValueCountFrequency (%)
g 585
34.1%
m 256
14.9%
E 119
 
6.9%
A 117
 
6.8%
k 112
 
6.5%
x 92
 
5.4%
T 85
 
4.9%
a 48
 
2.8%
X 41
 
2.4%
l 40
 
2.3%
Other values (15) 223
 
13.0%
Common
ValueCountFrequency (%)
1 7806
57.1%
0 1608
 
11.8%
807
 
5.9%
( 682
 
5.0%
) 682
 
5.0%
2 467
 
3.4%
5 327
 
2.4%
3 285
 
2.1%
, 254
 
1.9%
4 163
 
1.2%
Other values (13) 586
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15353
56.6%
Hangul 11760
43.3%
Number Forms 30
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7806
50.8%
0 1608
 
10.5%
807
 
5.3%
( 682
 
4.4%
) 682
 
4.4%
g 585
 
3.8%
2 467
 
3.0%
5 327
 
2.1%
3 285
 
1.9%
m 256
 
1.7%
Other values (36) 1848
 
12.0%
Hangul
ValueCountFrequency (%)
5853
49.8%
982
 
8.4%
976
 
8.3%
437
 
3.7%
430
 
3.7%
295
 
2.5%
286
 
2.4%
264
 
2.2%
237
 
2.0%
106
 
0.9%
Other values (167) 1894
 
16.1%
Number Forms
ValueCountFrequency (%)
30
100.0%
None
ValueCountFrequency (%)
± 2
100.0%

판매가격
Real number (ℝ)

ZEROS 

Distinct1541
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean438670.94
Minimum0
Maximum1 × 108
Zeros282
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size86.0 KiB
2024-04-30T08:23:17.172700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1300
Q18500
median25000
Q3146000
95-th percentile770000
Maximum1 × 108
Range1 × 108
Interquartile range (IQR)137500

Descriptive statistics

Standard deviation5450496
Coefficient of variation (CV)12.425022
Kurtosis327.67641
Mean438670.94
Median Absolute Deviation (MAD)21800
Skewness18.108705
Sum4.2871311 × 109
Variance2.9707907 × 1013
MonotonicityNot monotonic
2024-04-30T08:23:17.312748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 282
 
2.9%
8900 123
 
1.3%
15900 121
 
1.2%
10000 120
 
1.2%
7900 119
 
1.2%
12000 107
 
1.1%
15000 106
 
1.1%
6900 101
 
1.0%
25000 98
 
1.0%
20000 97
 
1.0%
Other values (1531) 8499
87.0%
ValueCountFrequency (%)
0 282
2.9%
10 78
 
0.8%
100 1
 
< 0.1%
150 4
 
< 0.1%
200 1
 
< 0.1%
250 8
 
0.1%
252 1
 
< 0.1%
297 1
 
< 0.1%
300 3
 
< 0.1%
330 1
 
< 0.1%
ValueCountFrequency (%)
100000000 29
0.3%
27500000 1
 
< 0.1%
20000000 1
 
< 0.1%
6900000 1
 
< 0.1%
4790000 1
 
< 0.1%
4500000 1
 
< 0.1%
3980000 1
 
< 0.1%
3800000 1
 
< 0.1%
3490000 1
 
< 0.1%
3000000 2
 
< 0.1%

Interactions

2024-04-30T08:23:13.932750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T08:23:17.403291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상품유형카테고리(대)판매가격
상품유형1.0000.9840.000
카테고리(대)0.9841.0000.231
판매가격0.0000.2311.000
2024-04-30T08:23:17.493079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카테고리(대)상품유형
카테고리(대)1.0000.907
상품유형0.9071.000
2024-04-30T08:23:17.567793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
판매가격상품유형카테고리(대)
판매가격1.0000.0000.120
상품유형0.0001.0000.907
카테고리(대)0.1200.9071.000

Missing values

2024-04-30T08:23:14.110988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T08:23:14.222856image/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.

Sample

기업명상품유형카테고리(대)카테고리(중)상품명판매단위판매가격
0(사)함께하는세상 삼우보호작업장제품문구/사무용품복사용지친환경 복사용지 A4 75g1박스 (2500매)19000
1(복)무지개공동회 엠마우스산업제품섬유/고무/위생위생용품자연그대로 핸드타올1박스(50밴드)27000
2(복)무지개공동회 엠마우스산업제품섬유/고무/위생위생용품행복예감 701세트(100롤)54000
3(복)무지개공동회 엠마우스산업제품섬유/고무/위생위생용품행복예감 점보5001박스(16롤)39000
4(복)무지개공동회 엠마우스산업제품섬유/고무/위생위생용품천연 행복예감 50팩1세트(60롤)34000
5(복)무지개공동회 엠마우스산업제품섬유/고무/위생위생용품행복예감 점보3001박스(16롤)39000
6(복)무지개공동회 엠마우스산업제품섬유/고무/위생위생용품행복예감 50팩1세트(72롤)30000
7(사)경기도장애인복지회 보호작업장제품문구/사무용품복사용지승진 복사용지 80g A4없음21000
8(사)경기도장애인복지회 보호작업장제품생활/취미용품생활/위생용품승진 친환경점보롤 1겹500m16롤없음35000
9(사)경기도장애인복지회 보호작업장제품문구/사무용품복사용지승진 복사용지 80g A3없음21900
기업명상품유형카테고리(대)카테고리(중)상품명판매단위판매가격
9763주성이엔지㈜제품토목/건축강관 및 파일폴리에틸렌피복강관이음관(JS-2400A-E11)없음0
9764주성이엔지㈜제품토목/건축강관 및 파일폴리에틸렌피복강관이음관(JS-2500A-E11)없음0
9765주성이엔지㈜제품토목/건축강관 및 파일폴리에틸렌피복강관이음관(JS-2600A-E11)없음0
9766주성이엔지㈜제품토목/건축강관 및 파일폴리에틸렌피복강관이음관(JS-2700A-E11)없음0
9767주성이엔지㈜제품토목/건축강관 및 파일폴리에틸렌피복강관이음관(JS-2800A-E11)없음0
9768주성이엔지㈜제품토목/건축강관 및 파일폴리에틸렌피복강관(JS-RS-L-B-1200A)없음0
9769주성이엔지㈜제품토목/건축강관 및 파일폴리에틸렌피복강관(JS-RS-L-B-1350A)없음0
9770주성이엔지㈜제품토목/건축강관 및 파일폴리에틸렌피복강관(JS-RS-L-B-1500A)없음0
9771주성이엔지㈜제품토목/건축강관 및 파일폴리에틸렌피복강관(JS-RS-L-B-1600A)없음0
9772주성이엔지㈜제품토목/건축강관 및 파일폴리에틸렌피복강관(JS-RS-L-B-1650A)없음0

Duplicate rows

Most frequently occurring

기업명상품유형카테고리(대)카테고리(중)상품명판매단위판매가격# duplicates
443주식회사 우리같이서비스IT/출판/컨설팅기획/컨설팅문화기획 행사위탁운영<NA>50000012
444주식회사 우리같이서비스IT/출판/컨설팅기획/컨설팅문화행사공연 기획<NA>5000005
89㈜동연디자인제품가구/인테리어기타가구/인테리어소파1개3510004
99㈜동연디자인제품가구/인테리어기타가구/인테리어소파1개5380004
105㈜동연디자인제품가구/인테리어기타가구/인테리어소파1개6080004
122㈜동연디자인제품가구/인테리어서재/사무용가구OA칸막이1개2050004
131㈜동연디자인제품가구/인테리어서재/사무용가구OA칸막이1개2690004
133㈜동연디자인제품가구/인테리어서재/사무용가구OA칸막이1개2860004
155㈜동연디자인제품가구/인테리어서재/사무용가구작업용의자1개2050004
80㈜동연디자인제품가구/인테리어기타가구/인테리어소파1개1870003