Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows1254
Duplicate rows (%)12.5%
Total size in memory888.7 KiB
Average record size in memory91.0 B

Variable types

DateTime1
Categorical4
Text2
Numeric3

Dataset

Description전라남도 보성군 율포특산물판매장 차 관련 판매 정보 데이터로 판매일자, 요일, 상품명, 분류명, 판매단가, 수량, 매출액 등의 항목을 제공합니다.
Author전라남도 보성군
URLhttps://www.data.go.kr/data/15111881/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1254 (12.5%) duplicate rowsDuplicates
대분류명 is highly overall correlated with 중분류명High correlation
중분류명 is highly overall correlated with 대분류명High correlation
판매단가 is highly overall correlated with 매출액High correlation
매출액 is highly overall correlated with 판매단가High correlation
대분류명 is highly imbalanced (52.0%)Imbalance
수량 is highly skewed (γ1 = 39.77634165)Skewed
매출액 is highly skewed (γ1 = 25.88302241)Skewed

Reproduction

Analysis started2023-12-12 01:28:52.058674
Analysis finished2023-12-12 01:28:54.718654
Duration2.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매일자
Date

Distinct405
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-06-05 00:00:00
Maximum2022-08-18 00:00:00
2023-12-12T10:28:54.821490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:55.046235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

요일
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일
2640 
토
2377 
월
1251 
금
1035 
화
973 
Other values (2)
1724 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수
2nd row화
3rd row화
4th row일
5th row화

Common Values

ValueCountFrequency (%)
일 2640
26.4%
토 2377
23.8%
월 1251
12.5%
금 1035
 
10.3%
화 973
 
9.7%
목 896
 
9.0%
수 828
 
8.3%

Length

2023-12-12T10:28:55.228679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:28:55.392900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일 2640
26.4%
토 2377
23.8%
월 1251
12.5%
금 1035
 
10.3%
화 973
 
9.7%
목 896
 
9.0%
수 828
 
8.3%

상품명
Text

Distinct659
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T10:28:55.753377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length11.4013
Min length3

Characters and Unicode

Total characters114013
Distinct characters448
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)1.8%

Sample

1st row다향유통 녹차 한천 제리
2nd row누룽지
3rd row다향유통 녹차 현미과자
4th row다향유통 녹차 건빵
5th row녹차&발효차set
ValueCountFrequency (%)
다향유통 3494
 
13.9%
녹차 3389
 
13.5%
쫀듸기 731
 
2.9%
보성 569
 
2.3%
다도락 566
 
2.3%
보림 540
 
2.1%
현미과자 406
 
1.6%
깨소미 381
 
1.5%
운해 368
 
1.5%
건빵 360
 
1.4%
Other values (820) 14325
57.0%
2023-12-12T10:28:56.303186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15252
 
13.4%
차 7707
 
6.8%
녹 5435
 
4.8%
다 5388
 
4.7%
향 4115
 
3.6%
유 3838
 
3.4%
통 3560
 
3.1%
0 2690
 
2.4%
( 2481
 
2.2%
) 2481
 
2.2%
Other values (438) 61066
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81333
71.3%
Space Separator 15252
 
13.4%
Decimal Number 6940
 
6.1%
Lowercase Letter 2629
 
2.3%
Open Punctuation 2482
 
2.2%
Close Punctuation 2482
 
2.2%
Dash Punctuation 1603
 
1.4%
Other Punctuation 968
 
0.8%
Uppercase Letter 324
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 7707
 
9.5%
녹 5435
 
6.7%
다 5388
 
6.6%
향 4115
 
5.1%
유 3838
 
4.7%
통 3560
 
4.4%
보 1914
 
2.4%
스 1503
 
1.8%
기 1291
 
1.6%
성 1191
 
1.5%
Other values (391) 45391
55.8%
Lowercase Letter
ValueCountFrequency (%)
g 1278
48.6%
m 421
 
16.0%
l 395
 
15.0%
k 245
 
9.3%
t 188
 
7.2%
a 60
 
2.3%
s 16
 
0.6%
e 10
 
0.4%
c 5
 
0.2%
y 3
 
0.1%
Other values (4) 8
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
T 146
45.1%
L 75
23.1%
E 52
 
16.0%
P 17
 
5.2%
C 7
 
2.2%
O 5
 
1.5%
S 5
 
1.5%
K 5
 
1.5%
B 4
 
1.2%
M 3
 
0.9%
Other values (3) 5
 
1.5%
Decimal Number
ValueCountFrequency (%)
0 2690
38.8%
5 1069
 
15.4%
1 965
 
13.9%
2 910
 
13.1%
3 392
 
5.6%
4 322
 
4.6%
6 174
 
2.5%
7 172
 
2.5%
9 163
 
2.3%
8 83
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 687
71.0%
* 153
 
15.8%
/ 117
 
12.1%
& 11
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 2481
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2481
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
15252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1603
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81332
71.3%
Common 29727
 
26.1%
Latin 2953
 
2.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 7707
 
9.5%
녹 5435
 
6.7%
다 5388
 
6.6%
향 4115
 
5.1%
유 3838
 
4.7%
통 3560
 
4.4%
보 1914
 
2.4%
스 1503
 
1.8%
기 1291
 
1.6%
성 1191
 
1.5%
Other values (390) 45390
55.8%
Latin
ValueCountFrequency (%)
g 1278
43.3%
m 421
 
14.3%
l 395
 
13.4%
k 245
 
8.3%
t 188
 
6.4%
T 146
 
4.9%
L 75
 
2.5%
a 60
 
2.0%
E 52
 
1.8%
P 17
 
0.6%
Other values (17) 76
 
2.6%
Common
ValueCountFrequency (%)
15252
51.3%
0 2690
 
9.0%
( 2481
 
8.3%
) 2481
 
8.3%
- 1603
 
5.4%
5 1069
 
3.6%
1 965
 
3.2%
2 910
 
3.1%
. 687
 
2.3%
3 392
 
1.3%
Other values (10) 1197
 
4.0%
Han
ValueCountFrequency (%)
茶 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81332
71.3%
ASCII 32680
28.7%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15252
46.7%
0 2690
 
8.2%
( 2481
 
7.6%
) 2481
 
7.6%
- 1603
 
4.9%
g 1278
 
3.9%
5 1069
 
3.3%
1 965
 
3.0%
2 910
 
2.8%
. 687
 
2.1%
Other values (37) 3264
 
10.0%
Hangul
ValueCountFrequency (%)
차 7707
 
9.5%
녹 5435
 
6.7%
다 5388
 
6.6%
향 4115
 
5.1%
유 3838
 
4.7%
통 3560
 
4.4%
보 1914
 
2.4%
스 1503
 
1.8%
기 1291
 
1.6%
성 1191
 
1.5%
Other values (390) 45390
55.8%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%

대분류명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식품
7767 
생활용품
891 
공예품
889 
다기&다도구
 
441
도자기&옹기
 
12

Length

Max length6
Median length2
Mean length2.4483
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품 7767
77.7%
생활용품 891
 
8.9%
공예품 889
 
8.9%
다기&다도구 441
 
4.4%
도자기&옹기 12
 
0.1%

Length

2023-12-12T10:28:56.500498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:28:56.656730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품 7767
77.7%
생활용품 891
 
8.9%
공예품 889
 
8.9%
다기&다도구 441
 
4.4%
도자기&옹기 12
 
0.1%

중분류명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
간식류
4438 
음료&티백
2393 
액세서리
 
430
조미식품
 
370
의류&잡화
 
363
Other values (11)
2006 

Length

Max length6
Median length5
Mean length3.6792
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row간식류
2nd row간식류
3rd row간식류
4th row간식류
5th row음료&티백

Common Values

ValueCountFrequency (%)
간식류 4438
44.4%
음료&티백 2393
23.9%
액세서리 430
 
4.3%
조미식품 370
 
3.7%
의류&잡화 363
 
3.6%
위생용품 337
 
3.4%
자연식품 282
 
2.8%
기타 251
 
2.5%
면류 247
 
2.5%
다도구 234
 
2.3%
Other values (6) 655
 
6.6%

Length

2023-12-12T10:28:56.840163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
간식류 4438
44.4%
음료&티백 2393
23.9%
액세서리 430
 
4.3%
조미식품 370
 
3.7%
의류&잡화 363
 
3.6%
위생용품 337
 
3.4%
자연식품 282
 
2.8%
기타 251
 
2.5%
면류 247
 
2.5%
다도구 234
 
2.3%
Other values (6) 655
 
6.6%

소분류명
Text

Distinct54
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T10:28:57.099776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.3061
Min length1

Characters and Unicode

Total characters23061
Distinct characters103
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

Unique1 ?
Unique (%)< 0.1%

Sample

1st row젤리
2nd row과자
3rd row과자
4th row과자
5th row발효차
ValueCountFrequency (%)
과자 4065
40.3%
녹차 1148
 
11.4%
기타 490
 
4.9%
발효차 463
 
4.6%
젤리 368
 
3.6%
과일차 281
 
2.8%
꿀 251
 
2.5%
스카프 234
 
2.3%
꽃차 214
 
2.1%
탈취&방향제 205
 
2.0%
Other values (46) 2376
23.5%
2023-12-12T10:28:57.556734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 4375
19.0%
자 4142
18.0%
차 2402
 
10.4%
녹 1148
 
5.0%
기 556
 
2.4%
타 490
 
2.1%
발 463
 
2.0%
효 463
 
2.0%
리 451
 
2.0%
젤 368
 
1.6%
Other values (93) 8203
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22716
98.5%
Other Punctuation 250
 
1.1%
Space Separator 95
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 4375
19.3%
자 4142
18.2%
차 2402
 
10.6%
녹 1148
 
5.1%
기 556
 
2.4%
타 490
 
2.2%
발 463
 
2.0%
효 463
 
2.0%
리 451
 
2.0%
젤 368
 
1.6%
Other values (91) 7858
34.6%
Other Punctuation
ValueCountFrequency (%)
& 250
100.0%
Space Separator
ValueCountFrequency (%)
95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22716
98.5%
Common 345
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 4375
19.3%
자 4142
18.2%
차 2402
 
10.6%
녹 1148
 
5.1%
기 556
 
2.4%
타 490
 
2.2%
발 463
 
2.0%
효 463
 
2.0%
리 451
 
2.0%
젤 368
 
1.6%
Other values (91) 7858
34.6%
Common
ValueCountFrequency (%)
& 250
72.5%
95
 
27.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22716
98.5%
ASCII 345
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 4375
19.3%
자 4142
18.2%
차 2402
 
10.6%
녹 1148
 
5.1%
기 556
 
2.4%
타 490
 
2.2%
발 463
 
2.0%
효 463
 
2.0%
리 451
 
2.0%
젤 368
 
1.6%
Other values (91) 7858
34.6%
ASCII
ValueCountFrequency (%)
& 250
72.5%
95
 
27.5%

판매단가
Real number (ℝ)

HIGH CORRELATION 

Distinct162
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10901.324
Minimum400
Maximum500000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:28:57.779509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum400
5-th percentile2000
Q13000
median5000
Q310000
95-th percentile35000
Maximum500000
Range499600
Interquartile range (IQR)7000

Descriptive statistics

Standard deviation21415.701
Coefficient of variation (CV)1.9645046
Kurtosis96.202112
Mean10901.324
Median Absolute Deviation (MAD)3000
Skewness8.1242338
Sum1.0901324 × 108
Variance4.5863223 × 108
MonotonicityNot monotonic
2023-12-12T10:28:57.977407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5000 1779
17.8%
2000 1458
14.6%
3000 1159
11.6%
10000 953
 
9.5%
6000 571
 
5.7%
9000 369
 
3.7%
12000 326
 
3.3%
15000 297
 
3.0%
4000 256
 
2.6%
700 230
 
2.3%
Other values (152) 2602
26.0%
ValueCountFrequency (%)
400 34
 
0.3%
700 230
2.3%
1200 44
 
0.4%
1350 1
 
< 0.1%
1370 1
 
< 0.1%
1400 1
 
< 0.1%
1500 23
 
0.2%
1600 1
 
< 0.1%
1700 5
 
0.1%
1800 17
 
0.2%
ValueCountFrequency (%)
500000 1
 
< 0.1%
380000 1
 
< 0.1%
298000 3
< 0.1%
289000 6
0.1%
280000 1
 
< 0.1%
259000 1
 
< 0.1%
250000 1
 
< 0.1%
245000 3
< 0.1%
238000 4
< 0.1%
230000 2
 
< 0.1%

수량
Real number (ℝ)

SKEWED 

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5907
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:28:58.146698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum300
Range299
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.3023754
Coefficient of variation (CV)3.3333598
Kurtosis1841.8217
Mean1.5907
Median Absolute Deviation (MAD)0
Skewness39.776342
Sum15907
Variance28.115185
MonotonicityNot monotonic
2023-12-12T10:28:58.310348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 7641
76.4%
2 1565
 
15.7%
3 337
 
3.4%
4 160
 
1.6%
5 117
 
1.2%
6 86
 
0.9%
10 30
 
0.3%
7 17
 
0.2%
8 8
 
0.1%
12 7
 
0.1%
Other values (15) 32
 
0.3%
ValueCountFrequency (%)
1 7641
76.4%
2 1565
 
15.7%
3 337
 
3.4%
4 160
 
1.6%
5 117
 
1.2%
6 86
 
0.9%
7 17
 
0.2%
8 8
 
0.1%
9 4
 
< 0.1%
10 30
 
0.3%
ValueCountFrequency (%)
300 1
 
< 0.1%
240 1
 
< 0.1%
200 2
 
< 0.1%
102 1
 
< 0.1%
100 2
 
< 0.1%
50 3
< 0.1%
40 1
 
< 0.1%
35 1
 
< 0.1%
30 4
< 0.1%
20 5
0.1%

매출액
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct206
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14126.089
Minimum400
Maximum1800000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:28:58.485207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum400
5-th percentile2000
Q14000
median6600
Q313000
95-th percentile50000
Maximum1800000
Range1799600
Interquartile range (IQR)9000

Descriptive statistics

Standard deviation36369.438
Coefficient of variation (CV)2.574629
Kurtosis1128.1182
Mean14126.089
Median Absolute Deviation (MAD)3600
Skewness25.883022
Sum1.4126089 × 108
Variance1.322736 × 109
MonotonicityNot monotonic
2023-12-12T10:28:58.649869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5000 1374
13.7%
10000 1154
 
11.5%
2000 958
 
9.6%
3000 915
 
9.2%
6000 688
 
6.9%
4000 536
 
5.4%
12000 383
 
3.8%
15000 361
 
3.6%
9000 358
 
3.6%
20000 312
 
3.1%
Other values (196) 2961
29.6%
ValueCountFrequency (%)
400 12
 
0.1%
700 127
 
1.3%
800 12
 
0.1%
1200 30
 
0.3%
1350 1
 
< 0.1%
1400 70
 
0.7%
1500 11
 
0.1%
1600 6
 
0.1%
1800 1
 
< 0.1%
2000 958
9.6%
ValueCountFrequency (%)
1800000 1
 
< 0.1%
1750000 1
 
< 0.1%
600000 1
 
< 0.1%
500000 3
< 0.1%
455000 1
 
< 0.1%
380000 1
 
< 0.1%
375000 1
 
< 0.1%
350000 1
 
< 0.1%
300000 1
 
< 0.1%
298000 3
< 0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022-10-30
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-30
2nd row2022-10-30
3rd row2022-10-30
4th row2022-10-30
5th row2022-10-30

Common Values

ValueCountFrequency (%)
2022-10-30 10000
100.0%

Length

2023-12-12T10:28:58.805088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:28:58.899326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-30 10000
100.0%

Interactions

2023-12-12T10:28:53.984264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:53.282242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:53.612002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:54.102051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:53.389302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:53.721950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:54.225275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:53.492926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:53.844784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:28:58.964586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요일대분류명중분류명소분류명판매단가수량매출액
요일1.0000.0350.0310.0740.0000.0500.031
대분류명0.0351.0000.9930.9960.3130.0590.250
중분류명0.0310.9931.0000.9980.5200.0650.291
소분류명0.0740.9960.9981.0000.7180.1500.548
판매단가0.0000.3130.5200.7181.0000.0000.677
수량0.0500.0590.0650.1500.0001.0000.813
매출액0.0310.2500.2910.5480.6770.8131.000
2023-12-12T10:28:59.090627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요일대분류명중분류명
요일1.0000.0220.014
대분류명0.0221.0000.983
중분류명0.0140.9831.000
2023-12-12T10:28:59.170061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
판매단가수량매출액요일대분류명중분류명
판매단가1.000-0.2050.8700.0000.1980.208
수량-0.2051.0000.2450.0300.0400.031
매출액0.8700.2451.0000.0200.0950.153
요일0.0000.0300.0201.0000.0220.014
대분류명0.1980.0400.0950.0221.0000.983
중분류명0.2080.0310.1530.0140.9831.000

Missing values

2023-12-12T10:28:54.401585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:28:54.608141image/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

판매일자요일상품명대분류명중분류명소분류명판매단가수량매출액데이터기준일자
59392021-12-22수다향유통 녹차 한천 제리식품간식류젤리5000150002022-10-30
89732022-05-03화누룽지식품간식류과자25006150002022-10-30
37102021-09-21화다향유통 녹차 현미과자식품간식류과자3000260002022-10-30
142562022-08-07일다향유통 녹차 건빵식품간식류과자3000130002022-10-30
111852022-06-14화녹차&발효차set식품음료&티백발효차450001450002022-10-30
9642021-07-01목김영애 녹차한과200g식품간식류과자6000160002022-10-30
135892022-07-31일운해 작두콩차100g식품음료&티백곡물견과차100003300002022-10-30
64282022-01-09일다도락 크리스피롤( 대)식품간식류과자160001160002022-10-30
68122022-01-26수다향유통 녹차 쫀듸기식품간식류과자20005100002022-10-30
81222022-04-10일다향유통 녹차 건빵식품간식류과자3000130002022-10-30
판매일자요일상품명대분류명중분류명소분류명판매단가수량매출액데이터기준일자
35932021-09-20월차희 녹차쫀드기식품간식류과자2000120002022-10-30
152222022-08-15월운해 국화차20g식품음료&티백꽃차100001100002022-10-30
144142022-08-08월다향유통 보성녹차초콜렛(소)식품간식류과자50003150002022-10-30
150212022-08-14일다향유통 녹차 쫀듸기식품간식류과자2000120002022-10-30
135572022-07-31일다향유통 녹차모나카식품간식류과자9000190002022-10-30
91542022-05-07토다향유통 녹차 국수식품면류국수50002100002022-10-30
88212022-04-30토신옥로-유기가루 녹차 300g식품음료&티백녹차100001100002022-10-30
102542022-05-30월다향유통 녹차 국수식품면류국수5000150002022-10-30
46142021-10-16토하늘수-두건(모자)공예품액세서리두건350001350002022-10-30
56692021-12-05일다향녹차 깨소미식품간식류과자5000150002022-10-30

Duplicate rows

Most frequently occurring

판매일자요일상품명대분류명중분류명소분류명판매단가수량매출액데이터기준일자# duplicates
12102022-08-14일다향유통 녹차 두부과자식품간식류과자3000130002022-10-3011
10342022-07-30토다향유통 녹차 현미과자식품간식류과자3000130002022-10-3010
11872022-08-13토다향유통 녹차 쫀듸기식품간식류과자2000120002022-10-3010
12052022-08-14일다향녹차 깨소미식품간식류과자5000150002022-10-3010
12132022-08-14일다향유통 녹차 쫀듸기식품간식류과자2000120002022-10-3010
12042022-08-14일다도락 크리스피롤(소)식품간식류과자7000170002022-10-309
12162022-08-14일다향유통 녹차 현미과자식품간식류과자3000130002022-10-309
12172022-08-14일다향유통 녹차모나카식품간식류과자9000190002022-10-309
12222022-08-14일보성 녹차.홍차(다인)식품음료&티백발효차70017002022-10-309
12382022-08-15월다향유통 녹차 쫀듸기식품간식류과자2000120002022-10-309