Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells5
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory996.1 KiB
Average record size in memory102.0 B

Variable types

Categorical4
Text1
Numeric6

Dataset

Description수원농수산물도매시장 내 농수축산물에 대한 도매 거래 정보로써 품목(품종)/규격/등급/평균가/최고가/최저가/거래량/거래금액 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15063911/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
평균가 is highly overall correlated with 최고가 and 1 other fieldsHigh correlation
최고가 is highly overall correlated with 평균가 and 1 other fieldsHigh correlation
최저가 is highly overall correlated with 평균가 and 1 other fieldsHigh correlation
월간거래물량 is highly overall correlated with 월간거래금액High correlation
월간거래금액 is highly overall correlated with 월간거래물량High correlation
도매법인 is highly overall correlated with 등급High correlation
등급 is highly overall correlated with 도매법인High correlation
규격(kg) is highly skewed (γ1 = 31.57671074)Skewed

Reproduction

Analysis started2023-12-12 15:15:40.448035
Analysis finished2023-12-12 15:15:47.112888
Duration6.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

해당연월
Categorical

Distinct48
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022-07
 
341
2022-10
 
288
2022-09
 
283
2022-06
 
268
2022-08
 
262
Other values (43)
8558 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-10
2nd row2020-10
3rd row2023-03
4th row2021-11
5th row2021-02

Common Values

ValueCountFrequency (%)
2022-07 341
 
3.4%
2022-10 288
 
2.9%
2022-09 283
 
2.8%
2022-06 268
 
2.7%
2022-08 262
 
2.6%
2020-07 262
 
2.6%
2021-08 249
 
2.5%
2021-10 245
 
2.5%
2021-07 244
 
2.4%
2023-01 239
 
2.4%
Other values (38) 7319
73.2%

Length

2023-12-13T00:15:47.188720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-07 341
 
3.4%
2022-10 288
 
2.9%
2022-09 283
 
2.8%
2022-06 268
 
2.7%
2022-08 262
 
2.6%
2020-07 262
 
2.6%
2021-08 249
 
2.5%
2021-10 245
 
2.5%
2021-07 244
 
2.4%
2023-01 239
 
2.4%
Other values (38) 7319
73.2%

도매법인
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기청과
3302 
수원청과
2832 
수원원협
2380 
수원수산
1196 
경기남부수협
 
290

Length

Max length6
Median length4
Mean length4.058
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수원원협
2nd row수원원협
3rd row수원청과
4th row경기청과
5th row경기청과

Common Values

ValueCountFrequency (%)
경기청과 3302
33.0%
수원청과 2832
28.3%
수원원협 2380
23.8%
수원수산 1196
 
12.0%
경기남부수협 290
 
2.9%

Length

2023-12-13T00:15:47.331233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:47.458058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기청과 3302
33.0%
수원청과 2832
28.3%
수원원협 2380
23.8%
수원수산 1196
 
12.0%
경기남부수협 290
 
2.9%

품목(품종)
Text

Distinct1606
Distinct (%)16.1%
Missing5
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T00:15:47.697130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length9.3969985
Min length4

Characters and Unicode

Total characters93923
Distinct characters488
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

Unique464 ?
Unique (%)4.6%

Sample

1st row수박(꿀수박(꼭지절단))
2nd row대추(대추(일반))
3rd row버섯(생표고)
4th row고추잎(고추)
5th row아스파라가스(아스파라가스)
ValueCountFrequency (%)
풋고추(청양 109
 
1.0%
수박(꿀수박(꼭지절단 94
 
0.9%
수박(수박(일반)(꼭지절단 93
 
0.8%
오이(백다다기 85
 
0.8%
어 73
 
0.7%
딸기(설향 72
 
0.7%
생고추(청양 66
 
0.6%
토마토(완숙토마토 64
 
0.6%
호박(늙은호박 61
 
0.6%
다 60
 
0.5%
Other values (1672) 10270
93.0%
2023-12-13T00:15:48.208049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 13198
 
14.1%
) 13132
 
14.0%
추 2484
 
2.6%
고 2388
 
2.5%
수 2016
 
2.1%
리 1557
 
1.7%
마 1452
 
1.5%
박 1392
 
1.5%
이 1129
 
1.2%
양 1127
 
1.2%
Other values (478) 54048
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66022
70.3%
Open Punctuation 13198
 
14.1%
Close Punctuation 13132
 
14.0%
Space Separator 1055
 
1.1%
Decimal Number 232
 
0.2%
Uppercase Letter 115
 
0.1%
Other Punctuation 67
 
0.1%
Lowercase Letter 65
 
0.1%
Math Symbol 32
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
추 2484
 
3.8%
고 2388
 
3.6%
수 2016
 
3.1%
리 1557
 
2.4%
마 1452
 
2.2%
박 1392
 
2.1%
이 1129
 
1.7%
양 1127
 
1.7%
입 1092
 
1.7%
기 1076
 
1.6%
Other values (446) 50309
76.2%
Decimal Number
ValueCountFrequency (%)
0 70
30.2%
2 34
14.7%
1 25
 
10.8%
5 24
 
10.3%
6 22
 
9.5%
8 18
 
7.8%
7 16
 
6.9%
3 11
 
4.7%
4 11
 
4.7%
9 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
M 32
27.8%
L 27
23.5%
K 20
17.4%
G 16
13.9%
D 15
13.0%
B 2
 
1.7%
A 2
 
1.7%
H 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
g 16
24.6%
o 15
23.1%
l 15
23.1%
d 15
23.1%
j 4
 
6.2%
Other Punctuation
ValueCountFrequency (%)
/ 41
61.2%
* 15
 
22.4%
. 11
 
16.4%
Open Punctuation
ValueCountFrequency (%)
( 13198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13132
100.0%
Space Separator
ValueCountFrequency (%)
1055
100.0%
Math Symbol
ValueCountFrequency (%)
+ 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66022
70.3%
Common 27721
29.5%
Latin 180
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
추 2484
 
3.8%
고 2388
 
3.6%
수 2016
 
3.1%
리 1557
 
2.4%
마 1452
 
2.2%
박 1392
 
2.1%
이 1129
 
1.7%
양 1127
 
1.7%
입 1092
 
1.7%
기 1076
 
1.6%
Other values (446) 50309
76.2%
Common
ValueCountFrequency (%)
( 13198
47.6%
) 13132
47.4%
1055
 
3.8%
0 70
 
0.3%
/ 41
 
0.1%
2 34
 
0.1%
+ 32
 
0.1%
1 25
 
0.1%
5 24
 
0.1%
6 22
 
0.1%
Other values (9) 88
 
0.3%
Latin
ValueCountFrequency (%)
M 32
17.8%
L 27
15.0%
K 20
11.1%
g 16
8.9%
G 16
8.9%
D 15
8.3%
o 15
8.3%
l 15
8.3%
d 15
8.3%
j 4
 
2.2%
Other values (3) 5
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66022
70.3%
ASCII 27901
29.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 13198
47.3%
) 13132
47.1%
1055
 
3.8%
0 70
 
0.3%
/ 41
 
0.1%
2 34
 
0.1%
+ 32
 
0.1%
M 32
 
0.1%
L 27
 
0.1%
1 25
 
0.1%
Other values (22) 255
 
0.9%
Hangul
ValueCountFrequency (%)
추 2484
 
3.8%
고 2388
 
3.6%
수 2016
 
3.1%
리 1557
 
2.4%
마 1452
 
2.2%
박 1392
 
2.1%
이 1129
 
1.7%
양 1127
 
1.7%
입 1092
 
1.7%
기 1076
 
1.6%
Other values (446) 50309
76.2%

규격(kg)
Real number (ℝ)

SKEWED 

Distinct116
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.448493
Minimum0
Maximum600
Zeros46
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:15:48.399011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q310
95-th percentile20
Maximum600
Range600
Interquartile range (IQR)7

Descriptive statistics

Standard deviation12.651345
Coefficient of variation (CV)1.6985107
Kurtosis1268.3104
Mean7.448493
Median Absolute Deviation (MAD)4
Skewness31.576711
Sum74484.93
Variance160.05652
MonotonicityNot monotonic
2023-12-13T00:15:48.915958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 2016
20.2%
4.0 1307
13.1%
5.0 979
9.8%
1.0 893
8.9%
2.0 872
8.7%
8.0 682
 
6.8%
20.0 455
 
4.5%
3.0 330
 
3.3%
15.0 316
 
3.2%
6.0 219
 
2.2%
Other values (106) 1931
19.3%
ValueCountFrequency (%)
0.0 46
 
0.5%
0.1 62
 
0.6%
0.2 50
 
0.5%
0.3 22
 
0.2%
0.33 1
 
< 0.1%
0.4 42
 
0.4%
0.5 155
1.6%
0.6 7
 
0.1%
0.7 5
 
0.1%
0.8 8
 
0.1%
ValueCountFrequency (%)
600.0 1
 
< 0.1%
500.0 3
< 0.1%
400.0 1
 
< 0.1%
200.0 1
 
< 0.1%
150.0 1
 
< 0.1%
58.0 1
 
< 0.1%
54.0 1
 
< 0.1%
52.0 2
< 0.1%
50.0 2
< 0.1%
48.0 1
 
< 0.1%

등급
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
특
4371 
없음
2736 
자연산 상
962 
상
957 
보통
447 
Other values (10)
527 

Length

Max length6
Median length1
Mean length1.8596
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row특
2nd row특
3rd row없음
4th row상
5th row특

Common Values

ValueCountFrequency (%)
특 4371
43.7%
없음 2736
27.4%
자연산 상 962
 
9.6%
상 957
 
9.6%
보통 447
 
4.5%
자연산 보통 230
 
2.3%
등외 115
 
1.1%
4등 69
 
0.7%
5등 43
 
0.4%
6등 34
 
0.3%
Other values (5) 36
 
0.4%

Length

2023-12-13T00:15:49.141607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
특 4372
39.1%
없음 2736
24.4%
상 1919
17.1%
자연산 1193
 
10.7%
보통 677
 
6.0%
등외 115
 
1.0%
4등 69
 
0.6%
5등 43
 
0.4%
6등 34
 
0.3%
무농약농산물 28
 
0.3%
Other values (3) 7
 
0.1%

평균가
Real number (ℝ)

HIGH CORRELATION 

Distinct5840
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29249.711
Minimum100
Maximum2538000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:15:49.399176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile2433
Q17440
median14250
Q328126.25
95-th percentile94776.25
Maximum2538000
Range2537900
Interquartile range (IQR)20686.25

Descriptive statistics

Standard deviation67252.784
Coefficient of variation (CV)2.2992632
Kurtosis338.82848
Mean29249.711
Median Absolute Deviation (MAD)8450.5
Skewness13.928912
Sum2.9249711 × 108
Variance4.522937 × 109
MonotonicityNot monotonic
2023-12-13T00:15:49.603464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 122
 
1.2%
5000 81
 
0.8%
3000 73
 
0.7%
6000 71
 
0.7%
7000 69
 
0.7%
2000 67
 
0.7%
8000 65
 
0.7%
4000 63
 
0.6%
12000 62
 
0.6%
9000 58
 
0.6%
Other values (5830) 9269
92.7%
ValueCountFrequency (%)
100 1
 
< 0.1%
200 1
 
< 0.1%
250 2
< 0.1%
254 1
 
< 0.1%
260 2
< 0.1%
270 1
 
< 0.1%
290 1
 
< 0.1%
300 2
< 0.1%
312 1
 
< 0.1%
313 4
< 0.1%
ValueCountFrequency (%)
2538000 1
< 0.1%
1862960 1
< 0.1%
1602700 1
< 0.1%
1348197 1
< 0.1%
1105270 1
< 0.1%
1036410 1
< 0.1%
960000 1
< 0.1%
953400 1
< 0.1%
890520 1
< 0.1%
850000 2
< 0.1%

최고가
Real number (ℝ)

HIGH CORRELATION 

Distinct1836
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34961.906
Minimum100
Maximum2538000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:15:49.804920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile3000
Q110000
median19200
Q336470
95-th percentile106504.5
Maximum2538000
Range2537900
Interquartile range (IQR)26470

Descriptive statistics

Standard deviation71311.836
Coefficient of variation (CV)2.039701
Kurtosis325.52099
Mean34961.906
Median Absolute Deviation (MAD)11200
Skewness13.670263
Sum3.4961906 × 108
Variance5.0853779 × 109
MonotonicityNot monotonic
2023-12-13T00:15:49.992051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 213
 
2.1%
15000 170
 
1.7%
12000 158
 
1.6%
20000 157
 
1.6%
25000 143
 
1.4%
30000 138
 
1.4%
13000 133
 
1.3%
16000 131
 
1.3%
5000 127
 
1.3%
18000 126
 
1.3%
Other values (1826) 8504
85.0%
ValueCountFrequency (%)
100 1
 
< 0.1%
200 1
 
< 0.1%
250 2
< 0.1%
260 3
< 0.1%
270 1
 
< 0.1%
300 2
< 0.1%
312 1
 
< 0.1%
313 4
< 0.1%
350 1
 
< 0.1%
400 4
< 0.1%
ValueCountFrequency (%)
2538000 1
< 0.1%
2094240 1
< 0.1%
1862960 1
< 0.1%
1602700 1
< 0.1%
1105270 1
< 0.1%
1036410 1
< 0.1%
960000 2
< 0.1%
953400 1
< 0.1%
890520 1
< 0.1%
850000 2
< 0.1%

최저가
Real number (ℝ)

HIGH CORRELATION 

Distinct1631
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24452.154
Minimum-72940
Maximum2538000
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size166.0 KiB
2023-12-13T00:15:50.176446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-72940
5-th percentile1200
Q14000
median10000
Q322000
95-th percentile87015
Maximum2538000
Range2610940
Interquartile range (IQR)18000

Descriptive statistics

Standard deviation65664.615
Coefficient of variation (CV)2.6854327
Kurtosis361.7068
Mean24452.154
Median Absolute Deviation (MAD)7000
Skewness14.35643
Sum2.4452154 × 108
Variance4.3118417 × 109
MonotonicityNot monotonic
2023-12-13T00:15:50.327773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3000 397
 
4.0%
2000 354
 
3.5%
5000 353
 
3.5%
10000 344
 
3.4%
4000 325
 
3.2%
6000 288
 
2.9%
7000 222
 
2.2%
8000 214
 
2.1%
1000 171
 
1.7%
9000 161
 
1.6%
Other values (1621) 7171
71.7%
ValueCountFrequency (%)
-72940 1
 
< 0.1%
-47930 1
 
< 0.1%
35 1
 
< 0.1%
100 3
 
< 0.1%
104 1
 
< 0.1%
200 5
0.1%
210 1
 
< 0.1%
230 2
 
< 0.1%
250 2
 
< 0.1%
260 8
0.1%
ValueCountFrequency (%)
2538000 1
< 0.1%
1862960 1
< 0.1%
1602700 1
< 0.1%
1105270 1
< 0.1%
1036410 1
< 0.1%
960000 1
< 0.1%
953400 1
< 0.1%
890520 1
< 0.1%
850000 2
< 0.1%
837540 1
< 0.1%

월간거래물량
Real number (ℝ)

HIGH CORRELATION 

Distinct2452
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3335.8747
Minimum-30
Maximum323205
Zeros6
Zeros (%)0.1%
Negative1
Negative (%)< 0.1%
Memory size166.0 KiB
2023-12-13T00:15:50.467334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-30
5-th percentile4
Q128
median180
Q31035.25
95-th percentile12395.25
Maximum323205
Range323235
Interquartile range (IQR)1007.25

Descriptive statistics

Standard deviation16162.462
Coefficient of variation (CV)4.8450447
Kurtosis150.45996
Mean3335.8747
Median Absolute Deviation (MAD)173
Skewness10.991534
Sum33358747
Variance2.6122518 × 108
MonotonicityNot monotonic
2023-12-13T00:15:50.602457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 272
 
2.7%
10 246
 
2.5%
4 212
 
2.1%
40 176
 
1.8%
5 172
 
1.7%
8 172
 
1.7%
2 149
 
1.5%
1 148
 
1.5%
6 135
 
1.4%
30 134
 
1.3%
Other values (2442) 8184
81.8%
ValueCountFrequency (%)
-30 1
 
< 0.1%
0 6
 
0.1%
1 148
1.5%
2 149
1.5%
3 97
1.0%
4 212
2.1%
5 172
1.7%
6 135
1.4%
7 68
 
0.7%
8 172
1.7%
ValueCountFrequency (%)
323205 1
< 0.1%
299940 1
< 0.1%
295860 1
< 0.1%
291960 1
< 0.1%
289200 1
< 0.1%
278460 1
< 0.1%
275505 1
< 0.1%
249720 1
< 0.1%
249120 1
< 0.1%
248740 1
< 0.1%

월간거래금액
Real number (ℝ)

HIGH CORRELATION 

Distinct7137
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6714411.1
Minimum-27000
Maximum7.17566 × 108
Zeros3
Zeros (%)< 0.1%
Negative1
Negative (%)< 0.1%
Memory size166.0 KiB
2023-12-13T00:15:50.756676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-27000
5-th percentile10000
Q187000
median575100
Q33175010
95-th percentile31124965
Maximum7.17566 × 108
Range7.17593 × 108
Interquartile range (IQR)3088010

Descriptive statistics

Standard deviation25751007
Coefficient of variation (CV)3.8351847
Kurtosis163.29577
Mean6714411.1
Median Absolute Deviation (MAD)553615
Skewness10.442724
Sum6.7144111 × 1010
Variance6.6311434 × 1014
MonotonicityNot monotonic
2023-12-13T00:15:50.946311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 65
 
0.7%
6000 39
 
0.4%
12000 37
 
0.4%
20000 32
 
0.3%
18000 32
 
0.3%
60000 30
 
0.3%
5000 29
 
0.3%
3000 29
 
0.3%
15000 27
 
0.3%
4000 27
 
0.3%
Other values (7127) 9653
96.5%
ValueCountFrequency (%)
-27000 1
 
< 0.1%
0 3
 
< 0.1%
100 1
 
< 0.1%
300 1
 
< 0.1%
312 1
 
< 0.1%
800 1
 
< 0.1%
830 1
 
< 0.1%
1000 8
0.1%
1040 1
 
< 0.1%
1041 1
 
< 0.1%
ValueCountFrequency (%)
717566000 1
< 0.1%
541096500 1
< 0.1%
499585100 1
< 0.1%
493051500 1
< 0.1%
420100500 1
< 0.1%
403285545 1
< 0.1%
400608500 1
< 0.1%
367697500 1
< 0.1%
353240000 1
< 0.1%
346015100 1
< 0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-07-03
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-03
2nd row2023-07-03
3rd row2023-07-03
4th row2023-07-03
5th row2023-07-03

Common Values

ValueCountFrequency (%)
2023-07-03 10000
100.0%

Length

2023-12-13T00:15:51.075687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:51.190242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-03 10000
100.0%

Interactions

2023-12-13T00:15:46.179016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:42.211125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:43.038371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:43.864210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:44.615423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:45.377116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:46.285918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:42.361437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:43.146633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:43.985698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:44.734816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:45.539573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:46.380075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:42.491205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:43.256955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:44.108620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:44.860463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:45.662954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:46.475205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:42.617480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:43.399779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:44.227117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:44.970241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:45.799875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:46.597373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:42.762155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:43.575996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:44.347061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:45.110259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:45.936624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:46.711552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:42.881996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:43.740245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:44.478050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:45.239649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:46.058086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:15:51.271240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
해당연월도매법인규격(kg)등급평균가최고가최저가월간거래물량월간거래금액
해당연월1.0000.3270.0690.1440.0680.0740.0790.0510.060
도매법인0.3271.0000.0000.9150.2050.2150.2280.0640.028
규격(kg)0.0690.0001.0000.0000.0000.0000.0000.0000.000
등급0.1440.9150.0001.0000.2030.2140.2510.0000.000
평균가0.0680.2050.0000.2031.0001.0000.9660.0000.000
최고가0.0740.2150.0000.2141.0001.0000.9620.0000.000
최저가0.0790.2280.0000.2510.9660.9621.0000.0000.000
월간거래물량0.0510.0640.0000.0000.0000.0000.0001.0000.587
월간거래금액0.0600.0280.0000.0000.0000.0000.0000.5871.000
2023-12-13T00:15:51.396566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등급도매법인해당연월
등급1.0000.6370.041
도매법인0.6371.0000.157
해당연월0.0410.1571.000
2023-12-13T00:15:51.493828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
규격(kg)평균가최고가최저가월간거래물량월간거래금액해당연월도매법인등급
규격(kg)1.0000.4330.4150.3790.3090.1510.0280.0000.000
평균가0.4331.0000.9470.8900.0530.3020.0240.1200.084
최고가0.4150.9471.0000.7390.1950.4300.0260.1260.088
최저가0.3790.8900.7391.000-0.1780.0550.0280.1410.110
월간거래물량0.3090.0530.195-0.1781.0000.9030.0170.0260.000
월간거래금액0.1510.3020.4300.0550.9031.0000.0210.0160.000
해당연월0.0280.0240.0260.0280.0170.0211.0000.1570.041
도매법인0.0000.1200.1260.1410.0260.0160.1571.0000.637
등급0.0000.0840.0880.1100.0000.0000.0410.6371.000

Missing values

2023-12-13T00:15:46.847334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:15:47.037978image/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

해당연월도매법인품목(품종)규격(kg)등급평균가최고가최저가월간거래물량월간거래금액데이터기준일자
890232019-10수원원협수박(꿀수박(꼭지절단))10.0특13971246006000234038704002023-07-03
665942020-10수원원협대추(대추(일반))5.0특213343000016000351320002023-07-03
70692023-03수원청과버섯(생표고)2.0없음316084000020840162834302023-07-03
402152021-11경기청과고추잎(고추)4.0상68006800680012204002023-07-03
596532021-02경기청과아스파라가스(아스파라가스)2.0특1600016000160006480002023-07-03
401062021-11경기청과레몬(라임(수입)레몬)3.0특300003000030000303000002023-07-03
580652021-03수원원협레몬(레몬(수입))15.0특63239730005500081034000002023-07-03
645972020-11수원청과수박(수박일반(꼭지절단))13.0없음1290018000650096210345002023-07-03
472142021-08수원수산기타(홍조개)1.0자연산 상57906320526010579002023-07-03
604672021-02수원수산광어(광어)12.0자연산 상213150262500182900488526002023-07-03
해당연월도매법인품목(품종)규격(kg)등급평균가최고가최저가월간거래물량월간거래금액데이터기준일자
291702022-06경기청과근대(적근대)2.0특11572229235210945423422023-07-03
219142022-08수원원협포도(샤인머스캣)21.0특245342660022000199523742002023-07-03
615432021-01수원청과토마토(대추방울(토))3.0없음1320718000350011970579485002023-07-03
671982020-10수원원협고구마순(줄기)(고구마순(일반))3.0특380038003800338002023-07-03
238602022-08수원청과복숭아(대명(복))10.0없음19000190001900020380002023-07-03
586472021-03수원수산명엽채수입(명엽채수입)4.0자연산 상163180163200163160249790402023-07-03
509812021-06경기청과피망(홍피망)10.0상28133291752604930843992023-07-03
701332020-08수원수산새 우(새 우)1.0자연산 상2108229530184981873381700202023-07-03
873662019-11수원청과생고추(청양)10.0상41776565002800074030835002023-07-03
898502019-10수원수산수입냉오징어(수입오징어채)5.0자연산 상29590508921320091054966702023-07-03