Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory830.1 KiB
Average record size in memory85.0 B

Variable types

Text2
Numeric5
Categorical2

Dataset

Description품목명,단위,단량,상승률,전일가격,전일가격,부류명,해당일자
Author서울시농수산식품공사
URLhttps://data.seoul.go.kr/dataList/OA-13426/S/1/datasetView.do

Alerts

(구분) has constant value ""Constant
상승률 is highly overall correlated with 전일가격.1High correlation
전일가격.1 is highly overall correlated with 상승률High correlation
단량 is highly skewed (γ1 = 25.46908697)Skewed
전일가격 is highly skewed (γ1 = 26.08330579)Skewed
전일가격.1 is highly skewed (γ1 = 30.6701325)Skewed
상승률 has 3720 (37.2%) zerosZeros
전일가격.1 has 3720 (37.2%) zerosZeros

Reproduction

Analysis started2024-05-10 22:46:15.345165
Analysis finished2024-05-10 22:46:24.818101
Duration9.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

품목명
Text

Distinct332
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T22:46:25.257102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length4.6198
Min length1

Characters and Unicode

Total characters46198
Distinct characters289
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

Unique14 ?
Unique (%)0.1%

Sample

1st row딸기 설향
2nd row생표고
3rd row무순
4th row아욱
5th row멜론 머스크
ValueCountFrequency (%)
수입 428
 
3.1%
사과 402
 
2.9%
딸기 367
 
2.7%
감귤 335
 
2.4%
양파 316
 
2.3%
국산 251
 
1.8%
시금치 228
 
1.7%
포도 224
 
1.6%
감자 221
 
1.6%
활 213
 
1.5%
Other values (326) 10816
78.4%
2024-05-10T22:46:26.298503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3801
 
8.2%
추 1577
 
3.4%
) 1229
 
2.7%
( 1229
 
2.7%
고 1072
 
2.3%
양 1023
 
2.2%
감 965
 
2.1%
파 910
 
2.0%
리 869
 
1.9%
수 797
 
1.7%
Other values (279) 32726
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39885
86.3%
Space Separator 3801
 
8.2%
Close Punctuation 1229
 
2.7%
Open Punctuation 1229
 
2.7%
Uppercase Letter 54
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
추 1577
 
4.0%
고 1072
 
2.7%
양 1023
 
2.6%
감 965
 
2.4%
파 910
 
2.3%
리 869
 
2.2%
수 797
 
2.0%
일 775
 
1.9%
반 757
 
1.9%
기 735
 
1.8%
Other values (273) 30405
76.2%
Uppercase Letter
ValueCountFrequency (%)
A 18
33.3%
B 18
33.3%
M 18
33.3%
Space Separator
ValueCountFrequency (%)
3801
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1229
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1229
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39885
86.3%
Common 6259
 
13.5%
Latin 54
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
추 1577
 
4.0%
고 1072
 
2.7%
양 1023
 
2.6%
감 965
 
2.4%
파 910
 
2.3%
리 869
 
2.2%
수 797
 
2.0%
일 775
 
1.9%
반 757
 
1.9%
기 735
 
1.8%
Other values (273) 30405
76.2%
Common
ValueCountFrequency (%)
3801
60.7%
) 1229
 
19.6%
( 1229
 
19.6%
Latin
ValueCountFrequency (%)
A 18
33.3%
B 18
33.3%
M 18
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39885
86.3%
ASCII 6313
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3801
60.2%
) 1229
 
19.5%
( 1229
 
19.5%
A 18
 
0.3%
B 18
 
0.3%
M 18
 
0.3%
Hangul
ValueCountFrequency (%)
추 1577
 
4.0%
고 1072
 
2.7%
양 1023
 
2.6%
감 965
 
2.4%
파 910
 
2.3%
리 869
 
2.2%
수 797
 
2.0%
일 775
 
1.9%
반 757
 
1.9%
기 735
 
1.8%
Other values (273) 30405
76.2%

단위
Text

Distinct237
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T22:46:27.093895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length8.1204
Min length5

Characters and Unicode

Total characters81204
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)0.2%

Sample

1st row2키로상자(하)
2nd row16키로(상)
3rd row.05키로(하)
4th row400그람단(중)
5th row5키로상자(상)
ValueCountFrequency (%)
10키로상자(상 630
 
6.3%
10키로상자(중 585
 
5.9%
10키로상자(하 535
 
5.3%
10키로상자(특 482
 
4.8%
4키로상자(상 388
 
3.9%
4키로상자(중 385
 
3.9%
4키로상자(하 338
 
3.4%
2키로상자(상 296
 
3.0%
5키로상자(상 265
 
2.6%
2키로상자(중 261
 
2.6%
Other values (222) 5835
58.4%
2024-05-10T22:46:28.303636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 10307
12.7%
( 10040
12.4%
) 10040
12.4%
키 9451
11.6%
로 9451
11.6%
자 7355
9.1%
1 4448
5.5%
0 4032
 
5.0%
중 2860
 
3.5%
하 2489
 
3.1%
Other values (27) 10731
13.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45849
56.5%
Decimal Number 14891
 
18.3%
Open Punctuation 10040
 
12.4%
Close Punctuation 10040
 
12.4%
Other Punctuation 384
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 10307
22.5%
키 9451
20.6%
로 9451
20.6%
자 7355
16.0%
중 2860
 
6.2%
하 2489
 
5.4%
특 1532
 
3.3%
단 393
 
0.9%
대 384
 
0.8%
개 289
 
0.6%
Other values (14) 1338
 
2.9%
Decimal Number
ValueCountFrequency (%)
1 4448
29.9%
0 4032
27.1%
2 1818
12.2%
5 1752
 
11.8%
4 1385
 
9.3%
8 709
 
4.8%
3 470
 
3.2%
6 145
 
1.0%
7 83
 
0.6%
9 49
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 10040
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10040
100.0%
Other Punctuation
ValueCountFrequency (%)
. 384
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45849
56.5%
Common 35355
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 10307
22.5%
키 9451
20.6%
로 9451
20.6%
자 7355
16.0%
중 2860
 
6.2%
하 2489
 
5.4%
특 1532
 
3.3%
단 393
 
0.9%
대 384
 
0.8%
개 289
 
0.6%
Other values (14) 1338
 
2.9%
Common
ValueCountFrequency (%)
( 10040
28.4%
) 10040
28.4%
1 4448
12.6%
0 4032
11.4%
2 1818
 
5.1%
5 1752
 
5.0%
4 1385
 
3.9%
8 709
 
2.0%
3 470
 
1.3%
. 384
 
1.1%
Other values (3) 277
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45849
56.5%
ASCII 35355
43.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 10307
22.5%
키 9451
20.6%
로 9451
20.6%
자 7355
16.0%
중 2860
 
6.2%
하 2489
 
5.4%
특 1532
 
3.3%
단 393
 
0.9%
대 384
 
0.8%
개 289
 
0.6%
Other values (14) 1338
 
2.9%
ASCII
ValueCountFrequency (%)
( 10040
28.4%
) 10040
28.4%
1 4448
12.6%
0 4032
11.4%
2 1818
 
5.1%
5 1752
 
5.0%
4 1385
 
3.9%
8 709
 
2.0%
3 470
 
1.3%
. 384
 
1.1%
Other values (3) 277
 
0.8%

단량
Real number (ℝ)

SKEWED 

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.982015
Minimum0.05
Maximum10000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T22:46:28.822384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile1
Q13
median5
Q310
95-th percentile50
Maximum10000
Range9999.95
Interquartile range (IQR)7

Descriptive statistics

Standard deviation330.21871
Coefficient of variation (CV)10.325138
Kurtosis713.03252
Mean31.982015
Median Absolute Deviation (MAD)4
Skewness25.469087
Sum319820.15
Variance109044.4
MonotonicityNot monotonic
2024-05-10T22:46:29.263762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
10.0 2541
25.4%
4.0 1344
13.4%
1.0 1066
10.7%
2.0 1015
 
10.2%
5.0 897
 
9.0%
8.0 668
 
6.7%
20.0 550
 
5.5%
3.0 393
 
3.9%
15.0 266
 
2.7%
1.5 199
 
2.0%
Other values (29) 1061
10.6%
ValueCountFrequency (%)
0.05 27
 
0.3%
0.2 33
 
0.3%
0.5 8
 
0.1%
1.0 1066
10.7%
1.5 199
 
2.0%
2.0 1015
10.2%
2.5 24
 
0.2%
3.0 393
 
3.9%
3.6 42
 
0.4%
4.0 1344
13.4%
ValueCountFrequency (%)
10000.0 8
 
0.1%
5000.0 10
 
0.1%
500.0 166
1.7%
400.0 31
 
0.3%
200.0 40
 
0.4%
100.0 125
1.2%
80.0 32
 
0.3%
78.0 5
 
0.1%
75.0 5
 
0.1%
70.0 17
 
0.2%

상승률
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct83
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.5144
Minimum0
Maximum100
Zeros3720
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T22:46:29.743075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median82
Q394
95-th percentile99
Maximum100
Range100
Interquartile range (IQR)94

Descriptive statistics

Standard deviation43.728041
Coefficient of variation (CV)0.78768827
Kurtosis-1.7267205
Mean55.5144
Median Absolute Deviation (MAD)16
Skewness-0.41825467
Sum555144
Variance1912.1416
MonotonicityNot monotonic
2024-05-10T22:46:30.272808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3720
37.2%
98 488
 
4.9%
99 436
 
4.4%
97 430
 
4.3%
96 415
 
4.2%
94 360
 
3.6%
95 354
 
3.5%
93 307
 
3.1%
92 274
 
2.7%
90 261
 
2.6%
Other values (73) 2955
29.5%
ValueCountFrequency (%)
0 3720
37.2%
6 1
 
< 0.1%
7 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
14 2
 
< 0.1%
15 1
 
< 0.1%
18 1
 
< 0.1%
19 1
 
< 0.1%
20 2
 
< 0.1%
ValueCountFrequency (%)
100 209
2.1%
99 436
4.4%
98 488
4.9%
97 430
4.3%
96 415
4.2%
95 354
3.5%
94 360
3.6%
93 307
3.1%
92 274
2.7%
91 251
2.5%

전일가격
Real number (ℝ)

SKEWED 

Distinct8288
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39012.244
Minimum140
Maximum8175714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T22:46:30.869958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile2555.8
Q110270.5
median19879
Q337361
95-th percentile92000
Maximum8175714
Range8175574
Interquartile range (IQR)27090.5

Descriptive statistics

Standard deviation192250.08
Coefficient of variation (CV)4.927942
Kurtosis797.06867
Mean39012.244
Median Absolute Deviation (MAD)11769.5
Skewness26.083306
Sum3.9012244 × 108
Variance3.6960092 × 1010
MonotonicityNot monotonic
2024-05-10T22:46:31.370312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16000 29
 
0.3%
20000 21
 
0.2%
35000 20
 
0.2%
28000 20
 
0.2%
30000 18
 
0.2%
15000 18
 
0.2%
40000 17
 
0.2%
22000 15
 
0.1%
48000 15
 
0.1%
9000 15
 
0.1%
Other values (8278) 9812
98.1%
ValueCountFrequency (%)
140 5
0.1%
187 4
< 0.1%
230 4
< 0.1%
233 3
< 0.1%
250 2
 
< 0.1%
254 1
 
< 0.1%
255 2
 
< 0.1%
256 2
 
< 0.1%
267 1
 
< 0.1%
292 1
 
< 0.1%
ValueCountFrequency (%)
8175714 1
< 0.1%
6000000 1
< 0.1%
5770000 1
< 0.1%
5600000 1
< 0.1%
5456000 1
< 0.1%
5164615 1
< 0.1%
5000000 1
< 0.1%
4339167 1
< 0.1%
3800000 2
< 0.1%
3090000 1
< 0.1%

전일가격.1
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct5655
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20454.013
Minimum0
Maximum5000000
Zeros3720
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T22:46:31.874445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7304
Q321868.5
95-th percentile63360.1
Maximum5000000
Range5000000
Interquartile range (IQR)21868.5

Descriptive statistics

Standard deviation130542.9
Coefficient of variation (CV)6.3822634
Kurtosis1024.9975
Mean20454.013
Median Absolute Deviation (MAD)7304
Skewness30.670132
Sum2.0454012 × 108
Variance1.7041448 × 1010
MonotonicityNot monotonic
2024-05-10T22:46:32.303491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3720
37.2%
20000 16
 
0.2%
16000 12
 
0.1%
15000 11
 
0.1%
23000 10
 
0.1%
25000 9
 
0.1%
21000 9
 
0.1%
40000 9
 
0.1%
32000 8
 
0.1%
35000 7
 
0.1%
Other values (5645) 6189
61.9%
ValueCountFrequency (%)
0 3720
37.2%
147 1
 
< 0.1%
181 1
 
< 0.1%
250 5
 
0.1%
267 1
 
< 0.1%
268 1
 
< 0.1%
278 1
 
< 0.1%
284 1
 
< 0.1%
291 1
 
< 0.1%
297 1
 
< 0.1%
ValueCountFrequency (%)
5000000 2
< 0.1%
4647500 1
< 0.1%
4646667 1
< 0.1%
4339167 1
< 0.1%
3719167 1
< 0.1%
3551020 1
< 0.1%
2860000 1
< 0.1%
2419231 1
< 0.1%
2264286 1
< 0.1%
1940000 1
< 0.1%

부류명
Categorical

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
과일류
1685 
엽채류
1643 
과채류
1582 
조미채류
1227 
기타채소
1168 
Other values (10)
2695 

Length

Max length5
Median length3
Mean length3.1956
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row과채류
2nd row기타채소
3rd row기타채소
4th row엽채류
5th row과채류

Common Values

ValueCountFrequency (%)
과일류 1685
16.9%
엽채류 1643
16.4%
과채류 1582
15.8%
조미채류 1227
12.3%
기타채소 1168
11.7%
양채류 894
8.9%
선어류 631
 
6.3%
서류 422
 
4.2%
근채류 212
 
2.1%
패류 173
 
1.7%
Other values (5) 363
 
3.6%

Length

2024-05-10T22:46:32.673483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
과일류 1685
16.9%
엽채류 1643
16.4%
과채류 1582
15.8%
조미채류 1227
12.3%
기타채소 1168
11.7%
양채류 894
8.9%
선어류 631
 
6.3%
서류 422
 
4.2%
근채류 212
 
2.1%
패류 173
 
1.7%
Other values (5) 363
 
3.6%

해당일자
Real number (ℝ)

Distinct169
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20236794
Minimum20231019
Maximum20240510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T22:46:33.163814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20231019
5-th percentile20231028
Q120231206
median20240126
Q320240322
95-th percentile20240430
Maximum20240510
Range9491
Interquartile range (IQR)9116

Descriptive statistics

Standard deviation4448.0484
Coefficient of variation (CV)0.00021980005
Kurtosis-1.7630188
Mean20236794
Median Absolute Deviation (MAD)291
Skewness-0.4845766
Sum2.0236794 × 1011
Variance19785134
MonotonicityNot monotonic
2024-05-10T22:46:34.062953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20231119 152
 
1.5%
20231210 148
 
1.5%
20231231 146
 
1.5%
20240303 143
 
1.4%
20231105 142
 
1.4%
20231112 137
 
1.4%
20231029 136
 
1.4%
20240121 134
 
1.3%
20240128 132
 
1.3%
20240310 130
 
1.3%
Other values (159) 8600
86.0%
ValueCountFrequency (%)
20231019 54
 
0.5%
20231020 51
 
0.5%
20231021 53
 
0.5%
20231022 119
1.2%
20231024 65
0.7%
20231025 44
 
0.4%
20231026 54
 
0.5%
20231027 47
 
0.5%
20231028 56
0.6%
20231029 136
1.4%
ValueCountFrequency (%)
20240510 54
0.5%
20240509 55
0.5%
20240508 55
0.5%
20240507 55
0.5%
20240505 104
1.0%
20240504 53
0.5%
20240503 40
 
0.4%
20240502 43
0.4%
20240501 39
 
0.4%
20240430 46
0.5%

(구분)
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
DOWN
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
DOWN 10000
100.0%

Length

2024-05-10T22:46:34.562548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:46:34.874542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
down 10000
100.0%

Interactions

2024-05-10T22:46:22.669941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:17.316330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:18.641003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:19.894674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:21.307397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:22.925617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:17.554303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:18.867315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:20.161069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:21.570946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:23.184364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:17.844013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:19.076561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:20.430254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:21.843088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:23.473633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:18.124373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:19.353933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:20.747026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:22.136845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:23.773757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:18.399709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:19.618330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:21.025502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:46:22.403206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T22:46:35.071499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단량상승률전일가격전일가격.1부류명해당일자
단량1.0000.0000.9970.7910.4010.029
상승률0.0001.0000.0000.0000.2090.091
전일가격0.9970.0001.0000.8510.3780.041
전일가격.10.7910.0000.8511.0000.3230.051
부류명0.4010.2090.3780.3231.0000.080
해당일자0.0290.0910.0410.0510.0801.000
2024-05-10T22:46:35.411995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단량상승률전일가격전일가격.1해당일자부류명
단량1.000-0.0180.4000.121-0.0500.201
상승률-0.0181.000-0.0160.7650.0500.079
전일가격0.400-0.0161.0000.3910.0370.164
전일가격.10.1210.7650.3911.0000.0470.144
해당일자-0.0500.0500.0370.0471.0000.074
부류명0.2010.0790.1640.1440.0741.000

Missing values

2024-05-10T22:46:24.141556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T22:46:24.618148image/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

품목명단위단량상승률전일가격전일가격.1부류명해당일자(구분)
36522딸기 설향2키로상자(하)2.0772343218072과채류20240227DOWN
45148생표고16키로(상)16.001541180기타채소20240204DOWN
40126무순.05키로(하)0.0598255250기타채소20240220DOWN
15428아욱400그람단(중)400.083975805엽채류20240409DOWN
44273멜론 머스크5키로상자(상)5.0978083978457과채류20240206DOWN
84959포도 샤인머스캣4키로상자(상)4.0972459023852과일류20231115DOWN
41447아귀(일반)10키로상자(중)10.0452417510964선어류20240217DOWN
48766양배추8키로망대(특)8.0064890엽채류20240128DOWN
31921포도 샤인머스캣4키로상자(중)4.0974025638953과일류20240309DOWN
9307오이맛고추10키로상자(상)10.00697220조미채류20240421DOWN
품목명단위단량상승률전일가격전일가격.1부류명해당일자(구분)
69990문어1키로(상)1.0981847418189연체류20231214DOWN
23657느타리버섯2키로상자(하)2.0035000기타채소20240324DOWN
90240사과 부사10키로상자(상)10.00521500과일류20231105DOWN
4900냉태 원양20키로펜(소)20.00325580선어류20240430DOWN
17649활 농어(자연)1키로(대)1.0951406413423선어류20240405DOWN
38757알배기배추8키로상자(하)8.09691558780엽채류20240223DOWN
54468노랑 파프리카5키로상자(상)5.0994707646831양채류20240116DOWN
18884느타리버섯2키로상자(중)2.09175826935기타채소20240402DOWN
33832냉이4키로(하)4.0921864417146기타채소20240305DOWN
63338빨강 파프리카5키로상자(하)5.0961853717736양채류20231229DOWN