Overview

Dataset statistics

Number of variables46
Number of observations10000
Missing cells28963
Missing cells (%)6.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 MiB
Average record size in memory385.0 B

Variable types

Numeric14
Categorical27
Unsupported5

Dataset

Description전국 도매시장에서 거래되는 농산물, 수산물, 축산물의 경매낙찰가격과 거래되는 상품들에 대한 정산 거래 상세 정보(경락일자+품목코드)
Author농림수산식품교육문화정보원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220209000000001743

Alerts

SBID_TIME has a high cardinality: 277 distinct values High cardinality
STD_PRDLST_NEW_NM has a high cardinality: 146 distinct values High cardinality
STD_PRDLST_NM has a high cardinality: 149 distinct values High cardinality
STD_SPCIES_NEW_NM has a high cardinality: 240 distinct values High cardinality
STD_SPCIES_NM has a high cardinality: 223 distinct values High cardinality
CPR_USE_PRDLST_NM has a high cardinality: 157 distinct values High cardinality
STD_MTC_NEW_NM has a high cardinality: 142 distinct values High cardinality
CPR_MTC_NM has a high cardinality: 132 distinct values High cardinality
SBID_TIME has 1534 (15.3%) missing values Missing
AUC_SE_NM has 148 (1.5%) missing values Missing
CPR_USE_PRDLST_CODE has 8234 (82.3%) missing values Missing
CPR_USE_PRDLST_NM has 8214 (82.1%) missing values Missing
SHIPMNT_SE_NM has 8184 (81.8%) missing values Missing
STD_MTC_NEW_NM has 710 (7.1%) missing values Missing
CPR_MTC_NM has 1939 (19.4%) missing values Missing
SBID_PRIC is highly skewed (γ1 = 51.94745747) Skewed
DELNG_QY is highly skewed (γ1 = 85.92836555) Skewed
df_index has unique values Unique
LEDG_NO is an unsupported type, check if it needs cleaning or further analysis Unsupported
STD_PRDLST_NEW_CODE is an unsupported type, check if it needs cleaning or further analysis Unsupported
STD_SPCIES_NEW_CODE is an unsupported type, check if it needs cleaning or further analysis Unsupported
STD_MTC_NEW_CODE is an unsupported type, check if it needs cleaning or further analysis Unsupported
CPR_MTC_CODE is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2022-08-12 14:42:06.470096
Analysis finished2022-08-12 14:42:08.292994
Duration1.82 second
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

df_index
Real number (ℝ≥0)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14115.1605
Minimum0
Maximum28258
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2022-08-12T23:42:08.463287image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1360.95
Q17119.5
median14032.5
Q321251.75
95-th percentile26924.05
Maximum28258
Range28258
Interquartile range (IQR)14132.25

Descriptive statistics

Standard deviation8199.075399
Coefficient of variation (CV)0.5808701501
Kurtosis-1.205956793
Mean14115.1605
Median Absolute Deviation (MAD)7079
Skewness0.009260434586
Sum141151605
Variance67224837.4
MonotonicityNot monotonic
2022-08-12T23:42:08.742111image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11251
 
< 0.1%
125351
 
< 0.1%
49271
 
< 0.1%
244001
 
< 0.1%
117491
 
< 0.1%
281821
 
< 0.1%
21011
 
< 0.1%
134661
 
< 0.1%
190811
 
< 0.1%
100821
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
01
< 0.1%
21
< 0.1%
151
< 0.1%
161
< 0.1%
191
< 0.1%
271
< 0.1%
291
< 0.1%
331
< 0.1%
381
< 0.1%
401
< 0.1%
ValueCountFrequency (%)
282581
< 0.1%
282571
< 0.1%
282541
< 0.1%
282531
< 0.1%
282511
< 0.1%
282481
< 0.1%
282471
< 0.1%
282431
< 0.1%
282411
< 0.1%
282361
< 0.1%

DELNG_DE
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
20220204
8184 
20220203
1814 
20220202
 
2

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20220203
2nd row20220203
3rd row20220204
4th row20220204
5th row20220204

Common Values

ValueCountFrequency (%)
202202048184
81.8%
202202031814
 
18.1%
202202022
 
< 0.1%

Length

2022-08-12T23:42:08.933911image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-12T23:42:09.310486image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
202202048184
81.8%
202202031814
 
18.1%
202202022
 
< 0.1%

SBID_TIME
Categorical

HIGH CARDINALITY
MISSING

Distinct277
Distinct (%)3.3%
Missing1534
Missing (%)15.3%
Memory size78.2 KiB
2022-02-04 ::
8184 
2022-01-29 14:19:41
 
2
2022-01-29 14:33:41
 
2
2022-02-03 07:42:20
 
2
2022-01-29 14:30:00
 
2
Other values (272)
 
274

Length

Max length19
Median length13
Mean length13.19985826
Min length13

Unique

Unique270 ?
Unique (%)3.2%

Sample

1st row2022-02-04 ::
2nd row2022-02-04 ::
3rd row2022-02-04 ::
4th row2022-02-04 ::
5th row2022-02-04 ::

Common Values

ValueCountFrequency (%)
2022-02-04 ::8184
81.8%
2022-01-29 14:19:412
 
< 0.1%
2022-01-29 14:33:412
 
< 0.1%
2022-02-03 07:42:202
 
< 0.1%
2022-01-29 14:30:002
 
< 0.1%
2022-01-29 14:24:382
 
< 0.1%
2022-02-03 07:37:232
 
< 0.1%
2022-01-29 14:31:021
 
< 0.1%
2022-01-29 14:33:101
 
< 0.1%
2022-02-03 08:08:351
 
< 0.1%
Other values (267)267
 
2.7%
(Missing)1534
 
15.3%

Length

2022-08-12T23:42:09.451904image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-02-048184
48.3%
8184
48.3%
2022-01-31111
 
0.7%
2022-02-03110
 
0.6%
2022-01-2961
 
0.4%
07:37:232
 
< 0.1%
07:31:282
 
< 0.1%
14:33:412
 
< 0.1%
14:19:412
 
< 0.1%
14:24:382
 
< 0.1%
Other values (270)272
 
1.6%

AUC_SE_CODE
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
1
8776 
2
882 
4
 
194
8
 
130
5
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
18776
87.8%
2882
 
8.8%
4194
 
1.9%
8130
 
1.3%
518
 
0.2%

Length

2022-08-12T23:42:09.613764image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-12T23:42:09.777269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
18776
87.8%
2882
 
8.8%
4194
 
1.9%
8130
 
1.3%
518
 
0.2%

AUC_SE_NM
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing148
Missing (%)1.5%
Memory size78.2 KiB
경매
8776 
정가수의
882 
매수도매
 
194

Length

Max length4
Median length2
Mean length2.218432806
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경매8776
87.8%
정가수의882
 
8.8%
매수도매194
 
1.9%
(Missing)148
 
1.5%

Length

2022-08-12T23:42:09.925114image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-12T23:42:10.109913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
경매8776
89.1%
정가수의882
 
9.0%
매수도매194
 
2.0%

WHSAL_MRKT_NEW_CODE
Real number (ℝ≥0)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1012490.09
Minimum1005601
Maximum1061901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2022-08-12T23:42:10.243863image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1005601
5-th percentile1005601
Q11005601
median1005601
Q31005601
95-th percentile1057901
Maximum1061901
Range56300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16069.81456
Coefficient of variation (CV)0.01587157713
Kurtosis3.529187611
Mean1012490.09
Median Absolute Deviation (MAD)0
Skewness2.227968878
Sum1.01249009 × 1010
Variance258238939.9
MonotonicityNot monotonic
2022-08-12T23:42:10.385772image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10056018184
81.8%
1027301496
 
5.0%
1057901410
 
4.1%
1061901394
 
3.9%
1026301171
 
1.7%
1041401163
 
1.6%
1039301114
 
1.1%
101190130
 
0.3%
102420114
 
0.1%
105450110
 
0.1%
Other values (3)14
 
0.1%
ValueCountFrequency (%)
10056018184
81.8%
101190130
 
0.3%
10152016
 
0.1%
102420114
 
0.1%
1026301171
 
1.7%
1027301496
 
5.0%
10367014
 
< 0.1%
1039301114
 
1.1%
1041401163
 
1.6%
10469014
 
< 0.1%
ValueCountFrequency (%)
1061901394
3.9%
1057901410
4.1%
105450110
 
0.1%
10469014
 
< 0.1%
1041401163
 
1.6%
1039301114
 
1.1%
10367014
 
< 0.1%
1027301496
5.0%
1026301171
 
1.7%
102420114
 
0.1%

WHSAL_MRKT_NEW_NM
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
가락동농수산물시장
8184 
충주농수산물도매시장
 
496
순천농산물도매시장
 
410
광주서부농수산물도매시장
 
394
원주농산물도매시장
 
171
Other values (8)
 
345

Length

Max length12
Median length9
Mean length9.1583
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광주서부농수산물도매시장
2nd row순천농산물도매시장
3rd row가락동농수산물시장
4th row가락동농수산물시장
5th row가락동농수산물시장

Common Values

ValueCountFrequency (%)
가락동농수산물시장8184
81.8%
충주농수산물도매시장496
 
5.0%
순천농산물도매시장410
 
4.1%
광주서부농수산물도매시장394
 
3.9%
원주농산물도매시장171
 
1.7%
대구북부도매시장163
 
1.6%
구미농산물도매시장114
 
1.1%
구리농수산물도매시장30
 
0.3%
춘천농수산물도매시장14
 
0.1%
익산농수산물도매시장10
 
0.1%
Other values (3)14
 
0.1%

Length

2022-08-12T23:42:10.613536image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가락동농수산물시장8184
81.8%
충주농수산물도매시장496
 
5.0%
순천농산물도매시장410
 
4.1%
광주서부농수산물도매시장394
 
3.9%
원주농산물도매시장171
 
1.7%
대구북부도매시장163
 
1.6%
구미농산물도매시장114
 
1.1%
구리농수산물도매시장30
 
0.3%
춘천농수산물도매시장14
 
0.1%
익산농수산물도매시장10
 
0.1%
Other values (3)14
 
0.1%

WHSAL_MRKT_CODE
Real number (ℝ≥0)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146078.5982
Minimum110001
Maximum371501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2022-08-12T23:42:10.779975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum110001
5-th percentile110001
Q1110001
median110001
Q3110001
95-th percentile360301
Maximum371501
Range261500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation79795.091
Coefficient of variation (CV)0.5462476501
Kurtosis1.9397092
Mean146078.5982
Median Absolute Deviation (MAD)0
Skewness1.911778305
Sum1460785982
Variance6367256548
MonotonicityNot monotonic
2022-08-12T23:42:11.047793image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1100018184
81.8%
330201496
 
5.0%
360301410
 
4.1%
240004394
 
3.9%
320201171
 
1.7%
220001163
 
1.6%
371501114
 
1.1%
31120130
 
0.3%
32010114
 
0.1%
35030110
 
0.1%
Other values (3)14
 
0.1%
ValueCountFrequency (%)
1100018184
81.8%
2100014
 
< 0.1%
220001163
 
1.6%
240004394
 
3.9%
3109016
 
0.1%
31120130
 
0.3%
32010114
 
0.1%
320201171
 
1.7%
330201496
 
5.0%
35030110
 
0.1%
ValueCountFrequency (%)
371501114
 
1.1%
3704014
 
< 0.1%
360301410
4.1%
35030110
 
0.1%
330201496
5.0%
320201171
 
1.7%
32010114
 
0.1%
31120130
 
0.3%
3109016
 
0.1%
240004394
3.9%

WHSAL_MRKT_NM
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
서울가락도매시장
8184 
충주도매시장
 
496
순천도매시장
 
410
광주서부도매시장
 
394
원주도매시장
 
171
Other values (8)
 
345

Length

Max length8
Median length8
Mean length7.749
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광주서부도매시장
2nd row순천도매시장
3rd row서울가락도매시장
4th row서울가락도매시장
5th row서울가락도매시장

Common Values

ValueCountFrequency (%)
서울가락도매시장8184
81.8%
충주도매시장496
 
5.0%
순천도매시장410
 
4.1%
광주서부도매시장394
 
3.9%
원주도매시장171
 
1.7%
대구북부도매시장163
 
1.6%
구미도매시장114
 
1.1%
구리도매시장30
 
0.3%
춘천도매시장14
 
0.1%
익산도매시장10
 
0.1%
Other values (3)14
 
0.1%

Length

2022-08-12T23:42:11.345209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울가락도매시장8184
81.8%
충주도매시장496
 
5.0%
순천도매시장410
 
4.1%
광주서부도매시장394
 
3.9%
원주도매시장171
 
1.7%
대구북부도매시장163
 
1.6%
구미도매시장114
 
1.1%
구리도매시장30
 
0.3%
춘천도매시장14
 
0.1%
익산도매시장10
 
0.1%
Other values (3)14
 
0.1%

CPR_INSTT_NEW_CODE
Real number (ℝ≥0)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6012492.391
Minimum6005601
Maximum6061904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2022-08-12T23:42:11.539892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6005601
5-th percentile6005601
Q16005601
median6005607
Q36005607
95-th percentile6057905
Maximum6061904
Range56303
Interquartile range (IQR)6

Descriptive statistics

Standard deviation16069.61244
Coefficient of variation (CV)0.002672703996
Kurtosis3.529249667
Mean6012492.391
Median Absolute Deviation (MAD)6
Skewness2.227988409
Sum6.012492392 × 1010
Variance258232444.1
MonotonicityNot monotonic
2022-08-12T23:42:11.755338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
60056014871
48.7%
60056073313
33.1%
6027302496
 
5.0%
6061902329
 
3.3%
6057905233
 
2.3%
6057901177
 
1.8%
6026302171
 
1.7%
6041406163
 
1.6%
606190465
 
0.7%
603930161
 
0.6%
Other values (7)121
 
1.2%
ValueCountFrequency (%)
60056014871
48.7%
60056073313
33.1%
601190330
 
0.3%
60152056
 
0.1%
602420314
 
0.1%
6026302171
 
1.7%
6027302496
 
5.0%
60367034
 
< 0.1%
603930161
 
0.6%
603930253
 
0.5%
ValueCountFrequency (%)
606190465
 
0.7%
6061902329
3.3%
6057905233
2.3%
6057901177
1.8%
605450210
 
0.1%
60469054
 
< 0.1%
6041406163
1.6%
603930253
 
0.5%
603930161
 
0.6%
60367034
 
< 0.1%

INSTT_NEW_NM
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
서울청과
4871 
농협가락(공)
3313 
충북원협(충주)
496 
농협광주(공)
 
329
순천원협(공)
 
233
Other values (12)
758 

Length

Max length8
Median length4
Mean length5.5197
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농협광주(공)
2nd row순천원협(공)
3rd row서울청과
4th row서울청과
5th row서울청과

Common Values

ValueCountFrequency (%)
서울청과4871
48.7%
농협가락(공)3313
33.1%
충북원협(충주)496
 
5.0%
농협광주(공)329
 
3.3%
순천원협(공)233
 
2.3%
남도청과177
 
1.8%
원주원협(공)171
 
1.7%
농협북대구(공)163
 
1.6%
호남청과65
 
0.7%
구미농협(공)61
 
0.6%
Other values (7)121
 
1.2%

Length

2022-08-12T23:42:11.974445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울청과4871
48.7%
농협가락(공3313
33.1%
충북원협(충주496
 
5.0%
농협광주(공329
 
3.3%
순천원협(공233
 
2.3%
남도청과177
 
1.8%
원주원협(공171
 
1.7%
농협북대구(공163
 
1.6%
호남청과65
 
0.7%
구미농협(공61
 
0.6%
Other values (7)121
 
1.2%

CPR_INSTT_CODE
Real number (ℝ≥0)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14607861.42
Minimum11000101
Maximum37150102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2022-08-12T23:42:12.367043image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum11000101
5-th percentile11000101
Q111000101
median11000102
Q311000102
95-th percentile36030101
Maximum37150102
Range26150001
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7979509.307
Coefficient of variation (CV)0.5462476045
Kurtosis1.939708658
Mean14607861.42
Median Absolute Deviation (MAD)1
Skewness1.911778173
Sum1.460786142 × 1011
Variance6.367256878 × 1013
MonotonicityNot monotonic
2022-08-12T23:42:12.576098image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
110001014871
48.7%
110001023313
33.1%
33020101496
 
5.0%
24000404329
 
3.3%
36030102233
 
2.3%
36030101177
 
1.8%
32020102171
 
1.7%
22000105163
 
1.6%
2400040265
 
0.7%
3715010161
 
0.6%
Other values (7)121
 
1.2%
ValueCountFrequency (%)
110001014871
48.7%
110001023313
33.1%
210001984
 
< 0.1%
22000105163
 
1.6%
2400040265
 
0.7%
24000404329
 
3.3%
310901046
 
0.1%
3112010430
 
0.3%
3201010114
 
0.1%
32020102171
 
1.7%
ValueCountFrequency (%)
3715010253
 
0.5%
3715010161
 
0.6%
370401024
 
< 0.1%
36030102233
2.3%
36030101177
 
1.8%
3503010210
 
0.1%
33020101496
5.0%
32020102171
 
1.7%
3201010114
 
0.1%
3112010430
 
0.3%

INSTT_NM
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
서울청과
4871 
농협가락(공)
3313 
충북원협(충주)
496 
광주수협(공)
 
329
순천원협(공)
 
233
Other values (12)
758 

Length

Max length8
Median length4
Mean length5.5197
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광주수협(공)
2nd row순천원협(공)
3rd row서울청과
4th row서울청과
5th row서울청과

Common Values

ValueCountFrequency (%)
서울청과4871
48.7%
농협가락(공)3313
33.1%
충북원협(충주)496
 
5.0%
광주수협(공)329
 
3.3%
순천원협(공)233
 
2.3%
남도청과177
 
1.8%
원주원협(공)171
 
1.7%
농협북대구(공)163
 
1.6%
두레청과65
 
0.7%
구미농협(공)61
 
0.6%
Other values (7)121
 
1.2%

Length

2022-08-12T23:42:12.800100image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울청과4871
48.7%
농협가락(공3313
33.1%
충북원협(충주496
 
5.0%
광주수협(공329
 
3.3%
순천원협(공233
 
2.3%
남도청과177
 
1.8%
원주원협(공171
 
1.7%
농협북대구(공163
 
1.6%
두레청과65
 
0.7%
구미농협(공61
 
0.6%
Other values (7)121
 
1.2%

LEDG_NO
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size78.2 KiB

SLE_SEQN
Real number (ℝ≥0)

Distinct455
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.5701
Minimum1
Maximum10012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2022-08-12T23:42:13.009652image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile161.35
Maximum10012
Range10011
Interquartile range (IQR)0

Descriptive statistics

Standard deviation510.9133621
Coefficient of variation (CV)7.791864921
Kurtosis213.1558798
Mean65.5701
Median Absolute Deviation (MAD)0
Skewness13.79648255
Sum655701
Variance261032.4635
MonotonicityNot monotonic
2022-08-12T23:42:13.234556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18265
82.7%
10185
 
1.8%
20167
 
1.7%
30128
 
1.3%
40103
 
1.0%
264
 
0.6%
5063
 
0.6%
6055
 
0.5%
354
 
0.5%
450
 
0.5%
Other values (445)866
 
8.7%
ValueCountFrequency (%)
18265
82.7%
264
 
0.6%
354
 
0.5%
450
 
0.5%
529
 
0.3%
611
 
0.1%
76
 
0.1%
84
 
< 0.1%
93
 
< 0.1%
10185
 
1.8%
ValueCountFrequency (%)
100121
< 0.1%
100111
< 0.1%
100101
< 0.1%
99121
< 0.1%
99111
< 0.1%
99101
< 0.1%
98111
< 0.1%
91101
< 0.1%
84111
< 0.1%
84101
< 0.1%

CATGORY_NEW_CODE
Real number (ℝ≥0)

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.3099
Minimum5
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2022-08-12T23:42:13.446225image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q19
median9
Q312
95-th percentile17
Maximum91
Range86
Interquartile range (IQR)3

Descriptive statistics

Standard deviation11.20233954
Coefficient of variation (CV)0.9100268518
Kurtosis19.15973063
Mean12.3099
Median Absolute Deviation (MAD)1
Skewness4.37851539
Sum123099
Variance125.4924112
MonotonicityNot monotonic
2022-08-12T23:42:13.633687image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
94878
48.8%
61044
 
10.4%
12941
 
9.4%
17831
 
8.3%
10829
 
8.3%
13792
 
7.9%
62198
 
2.0%
5103
 
1.0%
6486
 
0.9%
1176
 
0.8%
Other values (11)222
 
2.2%
ValueCountFrequency (%)
5103
 
1.0%
61044
 
10.4%
94878
48.8%
10829
 
8.3%
1176
 
0.8%
12941
 
9.4%
13792
 
7.9%
1473
 
0.7%
1628
 
0.3%
17831
 
8.3%
ValueCountFrequency (%)
9110
 
0.1%
8137
 
0.4%
732
 
< 0.1%
721
 
< 0.1%
6910
 
0.1%
6486
0.9%
634
 
< 0.1%
62198
2.0%
6151
 
0.5%
265
 
0.1%

CATGORY_NEW_NM
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
과채류
4878 
과실류
1044 
조미채소류
941 
버섯류
831 
엽경채류
829 
Other values (16)
1477 

Length

Max length6
Median length3
Mean length3.3133
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row해조류
2nd row과채류
3rd row양채류
4th row과채류
5th row과채류

Common Values

ValueCountFrequency (%)
과채류4878
48.8%
과실류1044
 
10.4%
조미채소류941
 
9.4%
버섯류831
 
8.3%
엽경채류829
 
8.3%
양채류792
 
7.9%
해면패류198
 
2.0%
서류103
 
1.0%
해면연체류86
 
0.9%
근채류76
 
0.8%
Other values (11)222
 
2.2%

Length

2022-08-12T23:42:13.995903image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
과채류4878
48.8%
과실류1044
 
10.4%
조미채소류941
 
9.4%
버섯류831
 
8.3%
엽경채류829
 
8.3%
양채류792
 
7.9%
해면패류198
 
2.0%
서류103
 
1.0%
해면연체류86
 
0.9%
근채류76
 
0.8%
Other values (11)222
 
2.2%

CATGORY_CODE
Real number (ℝ≥0)

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.2144
Minimum5
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2022-08-12T23:42:14.189105image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q18
median9
Q312
95-th percentile17
Maximum91
Range86
Interquartile range (IQR)4

Descriptive statistics

Standard deviation12.65251126
Coefficient of variation (CV)1.035868423
Kurtosis18.40997982
Mean12.2144
Median Absolute Deviation (MAD)1
Skewness4.373185428
Sum122144
Variance160.0860412
MonotonicityNot monotonic
2022-08-12T23:42:14.331367image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
83595
35.9%
91283
 
12.8%
61036
 
10.4%
12941
 
9.4%
17831
 
8.3%
10829
 
8.3%
13792
 
7.9%
72197
 
2.0%
5103
 
1.0%
7477
 
0.8%
Other values (18)316
 
3.2%
ValueCountFrequency (%)
5103
 
1.0%
61036
 
10.4%
717
 
0.2%
83595
35.9%
91283
 
12.8%
10829
 
8.3%
1176
 
0.8%
12941
 
9.4%
13792
 
7.9%
1473
 
0.7%
ValueCountFrequency (%)
911
 
< 0.1%
873
 
< 0.1%
845
 
0.1%
834
 
< 0.1%
821
 
< 0.1%
819
 
0.1%
7637
 
0.4%
757
 
0.1%
7477
 
0.8%
72197
2.0%

CATGORY_NM
Categorical

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
과일과채류
3595 
과채류
1283 
과실류
1036 
조미채소류
941 
버섯류
831 
Other values (23)
2314 

Length

Max length8
Median length7
Mean length4.1468
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row신선 해조류
2nd row과일과채류
3rd row양채류
4th row과일과채류
5th row과일과채류

Common Values

ValueCountFrequency (%)
과일과채류3595
35.9%
과채류1283
 
12.8%
과실류1036
 
10.4%
조미채소류941
 
9.4%
버섯류831
 
8.3%
엽경채류829
 
8.3%
양채류792
 
7.9%
신선 해면패류197
 
2.0%
서류103
 
1.0%
신선 해면연체류77
 
0.8%
Other values (18)316
 
3.2%

Length

2022-08-12T23:42:14.508275image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
과일과채류3595
34.6%
과채류1283
 
12.3%
과실류1036
 
10.0%
조미채소류941
 
9.1%
버섯류831
 
8.0%
엽경채류829
 
8.0%
양채류792
 
7.6%
신선356
 
3.4%
해면패류198
 
1.9%
서류103
 
1.0%
Other values (15)425
 
4.1%

STD_PRDLST_NEW_CODE
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size78.2 KiB

STD_PRDLST_NEW_NM
Categorical

HIGH CARDINALITY

Distinct146
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
딸기
2516 
고추
696 
토마토
660 
오이
614 
호박
542 
Other values (141)
4972 

Length

Max length12
Median length2
Mean length2.7612
Min length1

Unique

Unique20 ?
Unique (%)0.2%

Sample

1st row파래류
2nd row딸기
3rd row파프리카
4th row딸기
5th row딸기

Common Values

ValueCountFrequency (%)
딸기2516
25.2%
고추696
 
7.0%
토마토660
 
6.6%
오이614
 
6.1%
호박542
 
5.4%
감귤361
 
3.6%
표고버섯339
 
3.4%
방울토마토334
 
3.3%
파프리카267
 
2.7%
피망(단고추)182
 
1.8%
Other values (136)3489
34.9%

Length

2022-08-12T23:42:14.689285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
딸기2516
25.2%
고추696
 
7.0%
토마토660
 
6.6%
오이614
 
6.1%
호박542
 
5.4%
감귤361
 
3.6%
표고버섯339
 
3.4%
방울토마토334
 
3.3%
파프리카267
 
2.7%
피망(단고추182
 
1.8%
Other values (138)3491
34.9%

STD_PRDLST_CODE
Real number (ℝ≥0)

Distinct162
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1227.6186
Minimum501
Maximum9106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2022-08-12T23:42:15.130002image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum501
5-th percentile612
Q1804
median901
Q31205
95-th percentile1711
Maximum9106
Range8605
Interquartile range (IQR)401

Descriptive statistics

Standard deviation1266.119643
Coefficient of variation (CV)1.031362382
Kurtosis18.39976072
Mean1227.6186
Median Absolute Deviation (MAD)104
Skewness4.371865922
Sum12276186
Variance1603058.95
MonotonicityNot monotonic
2022-08-12T23:42:15.352273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8042516
25.2%
803660
 
6.6%
901614
 
6.1%
902542
 
5.4%
1205470
 
4.7%
614361
 
3.6%
1704339
 
3.4%
806334
 
3.3%
1326267
 
2.7%
1302182
 
1.8%
Other values (152)3715
37.1%
ValueCountFrequency (%)
50121
 
0.2%
50282
0.8%
601177
1.8%
60219
 
0.2%
60358
 
0.6%
60586
0.9%
6062
 
< 0.1%
6079
 
0.1%
61117
 
0.2%
612115
1.1%
ValueCountFrequency (%)
91061
 
< 0.1%
87041
 
< 0.1%
87032
< 0.1%
84062
< 0.1%
84041
 
< 0.1%
84032
< 0.1%
83024
< 0.1%
82111
 
< 0.1%
81631
 
< 0.1%
81361
 
< 0.1%

STD_PRDLST_NM
Categorical

HIGH CARDINALITY

Distinct149
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
딸기
2516 
토마토
660 
오이
614 
호박
542 
풋고추
 
470
Other values (144)
5198 

Length

Max length12
Median length2
Mean length2.8147
Min length1

Unique

Unique20 ?
Unique (%)0.2%

Sample

1st row파래
2nd row딸기
3rd row파프리카
4th row딸기
5th row딸기

Common Values

ValueCountFrequency (%)
딸기2516
25.2%
토마토660
 
6.6%
오이614
 
6.1%
호박542
 
5.4%
풋고추470
 
4.7%
감귤361
 
3.6%
표고버섯339
 
3.4%
방울토마토334
 
3.3%
파프리카267
 
2.7%
피망(단고추)182
 
1.8%
Other values (139)3715
37.1%

Length

2022-08-12T23:42:15.614718image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
딸기2516
25.2%
토마토660
 
6.6%
오이614
 
6.1%
호박542
 
5.4%
풋고추470
 
4.7%
감귤361
 
3.6%
표고버섯339
 
3.4%
방울토마토334
 
3.3%
파프리카267
 
2.7%
피망(단고추182
 
1.8%
Other values (141)3717
37.2%

STD_SPCIES_NEW_CODE
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size78.2 KiB

STD_SPCIES_NEW_NM
Categorical

HIGH CARDINALITY

Distinct240
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
설향
2019 
기타
1788 
백다다기
 
356
애호박
 
350
표고버섯(일반)
 
320
Other values (235)
5167 

Length

Max length23
Median length21
Mean length3.9363
Min length2

Unique

Unique51 ?
Unique (%)0.5%

Sample

1st row홑파래(신선/냉장)(미가공)
2nd row기타
3rd row오렌지파프리카
4th row설향
5th row설향

Common Values

ValueCountFrequency (%)
설향2019
20.2%
기타1788
17.9%
백다다기356
 
3.6%
애호박350
 
3.5%
표고버섯(일반)320
 
3.2%
청양283
 
2.8%
취청258
 
2.6%
대추방울230
 
2.3%
새송이버섯171
 
1.7%
쥬키니호박144
 
1.4%
Other values (230)4081
40.8%

Length

2022-08-12T23:42:15.777858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
설향2019
20.2%
기타1788
17.8%
백다다기356
 
3.6%
애호박350
 
3.5%
표고버섯(일반320
 
3.2%
청양283
 
2.8%
취청258
 
2.6%
대추방울230
 
2.3%
새송이버섯171
 
1.7%
쥬키니호박144
 
1.4%
Other values (231)4099
40.9%

STD_SPCIES_CODE
Real number (ℝ≥0)

Distinct286
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122779.0816
Minimum50101
Maximum910699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2022-08-12T23:42:16.010155image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum50101
5-th percentile61298
Q180413
median90101
Q3120510
95-th percentile171101
Maximum910699
Range860598
Interquartile range (IQR)40097

Descriptive statistics

Standard deviation126610.5725
Coefficient of variation (CV)1.031206382
Kurtosis18.40067925
Mean122779.0816
Median Absolute Deviation (MAD)10401
Skewness4.372016179
Sum1227790816
Variance1.603023706 × 1010
MonotonicityNot monotonic
2022-08-12T23:42:16.220162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
804132019
 
20.2%
80301539
 
5.4%
90102356
 
3.6%
90201350
 
3.5%
170401320
 
3.2%
120501283
 
2.8%
80499281
 
2.8%
90101258
 
2.6%
80603230
 
2.3%
171101171
 
1.7%
Other values (276)5193
51.9%
ValueCountFrequency (%)
501019
 
0.1%
501036
 
0.1%
501136
 
0.1%
502011
 
< 0.1%
5020428
0.3%
5029953
0.5%
6010342
0.4%
6013916
 
0.2%
6014026
0.3%
6017615
 
0.1%
ValueCountFrequency (%)
9106991
< 0.1%
8704021
< 0.1%
8703992
< 0.1%
8406012
< 0.1%
8404051
< 0.1%
8403991
< 0.1%
8403011
< 0.1%
8302991
< 0.1%
8302061
< 0.1%
8302052
< 0.1%

STD_SPCIES_NM
Categorical

HIGH CARDINALITY

Distinct223
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
설향
2019 
기타
1060 
토마토(일반)
 
539
백다다기
 
356
애호박
 
350
Other values (218)
5676 

Length

Max length13
Median length12
Mean length3.936
Min length1

Unique

Unique38 ?
Unique (%)0.4%

Sample

1st row파래
2nd row기타
3rd row오렌지파프리카
4th row설향
5th row설향

Common Values

ValueCountFrequency (%)
설향2019
20.2%
기타1060
 
10.6%
토마토(일반)539
 
5.4%
백다다기356
 
3.6%
애호박350
 
3.5%
표고버섯(일반)320
 
3.2%
청양283
 
2.8%
취청258
 
2.6%
대추방울230
 
2.3%
새송이(일반)171
 
1.7%
Other values (213)4414
44.1%

Length

2022-08-12T23:42:16.509829image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
설향2019
20.2%
기타1060
 
10.6%
토마토(일반539
 
5.4%
백다다기356
 
3.6%
애호박350
 
3.5%
표고버섯(일반320
 
3.2%
청양283
 
2.8%
취청258
 
2.6%
대추방울230
 
2.3%
새송이(일반171
 
1.7%
Other values (214)4432
44.2%

DELNG_PRUT
Real number (ℝ≥0)

Distinct56
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.800382
Minimum0.01
Maximum22.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2022-08-12T23:42:16.724757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile1
Q12
median5
Q310
95-th percentile16
Maximum22.4
Range22.39
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.753089886
Coefficient of variation (CV)0.8194442858
Kurtosis0.3736105146
Mean5.800382
Median Absolute Deviation (MAD)3
Skewness0.9930910052
Sum58003.82
Variance22.59186346
MonotonicityNot monotonic
2022-08-12T23:42:16.941389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102074
20.7%
22004
20.0%
51227
12.3%
11140
11.4%
8767
 
7.7%
4505
 
5.1%
3387
 
3.9%
18281
 
2.8%
2.5277
 
2.8%
0.5245
 
2.5%
Other values (46)1093
10.9%
ValueCountFrequency (%)
0.011
 
< 0.1%
0.056
 
0.1%
0.061
 
< 0.1%
0.13
 
< 0.1%
0.152
 
< 0.1%
0.277
 
0.8%
0.251
 
< 0.1%
0.319
 
0.2%
0.436
 
0.4%
0.5245
2.5%
ValueCountFrequency (%)
22.42
 
< 0.1%
222
 
< 0.1%
21.51
 
< 0.1%
211
 
< 0.1%
20125
1.2%
1915
 
0.1%
18281
2.8%
1728
 
0.3%
16.21
 
< 0.1%
1662
 
0.6%

STD_UNIT_NEW_CODE
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
12
9637 
72
 
359
13
 
4

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row72
2nd row12
3rd row12
4th row12
5th row12

Common Values

ValueCountFrequency (%)
129637
96.4%
72359
 
3.6%
134
 
< 0.1%

Length

2022-08-12T23:42:17.164543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-12T23:42:17.377844image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
129637
96.4%
72359
 
3.6%
134
 
< 0.1%

STD_UNIT_NEW_NM
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
kg
9996 
ton
 
4

Length

Max length3
Median length2
Mean length2.0004
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
kg9996
> 99.9%
ton4
 
< 0.1%

Length

2022-08-12T23:42:17.829502image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-12T23:42:18.157881image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
kg9996
> 99.9%
ton4
 
< 0.1%

STD_FRMLC_NEW_CODE
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
101
7486 
107
847 
103
 
318
102
 
293
1ZZ
 
241
Other values (12)
815 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row701
2nd row101
3rd row101
4th row101
5th row103

Common Values

ValueCountFrequency (%)
1017486
74.9%
107847
 
8.5%
103318
 
3.2%
102293
 
2.9%
1ZZ241
 
2.4%
111197
 
2.0%
705185
 
1.8%
110103
 
1.0%
70796
 
1.0%
10463
 
0.6%
Other values (7)171
 
1.7%

Length

2022-08-12T23:42:18.328537image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1017486
74.9%
107847
 
8.5%
103318
 
3.2%
102293
 
2.9%
1zz241
 
2.4%
111197
 
2.0%
705185
 
1.8%
110103
 
1.0%
70796
 
1.0%
10463
 
0.6%
Other values (7)171
 
1.7%

STD_FRMLC_NEW_NM
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
상자
7534 
파렛트
847 
PE대
 
318
P-BOX
 
293
기타
 
271
Other values (9)
 
737

Length

Max length5
Median length2
Mean length2.2411
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상자
2nd row상자
3rd row상자
4th row상자
5th rowPE대

Common Values

ValueCountFrequency (%)
상자7534
75.3%
파렛트847
 
8.5%
PE대318
 
3.2%
P-BOX293
 
2.9%
기타271
 
2.7%
그물망214
 
2.1%
단197
 
2.0%
접시용기103
 
1.0%
S/P96
 
1.0%
PP대63
 
0.6%
Other values (4)64
 
0.6%

Length

2022-08-12T23:42:18.548666image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상자7534
75.3%
파렛트847
 
8.5%
pe대318
 
3.2%
p-box293
 
2.9%
기타271
 
2.7%
그물망214
 
2.1%
단197
 
2.0%
접시용기103
 
1.0%
s/p96
 
1.0%
pp대63
 
0.6%
Other values (4)64
 
0.6%

STD_MG_NEW_CODE
Categorical

Distinct43
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
1ZZ
6491 
182
705 
124
697 
125
 
464
782
 
324
Other values (38)
1319 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row782
2nd row1ZZ
3rd row1ZZ
4th row183
5th row181

Common Values

ValueCountFrequency (%)
1ZZ6491
64.9%
182705
 
7.0%
124697
 
7.0%
125464
 
4.6%
782324
 
3.2%
183277
 
2.8%
181244
 
2.4%
184134
 
1.3%
12095
 
0.9%
11068
 
0.7%
Other values (33)501
 
5.0%

Length

2022-08-12T23:42:18.751966image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1zz6491
64.9%
182705
 
7.0%
124697
 
7.0%
125464
 
4.6%
782324
 
3.2%
183277
 
2.8%
181244
 
2.4%
184134
 
1.3%
12095
 
0.9%
11068
 
0.7%
Other values (33)501
 
5.0%

STD_MG_NEW_NM
Categorical

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
기타
6521 
대
1029 
40내
697 
50내
 
464
중
 
277
Other values (34)
1012 

Length

Max length4
Median length2
Mean length1.9613
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row대
2nd row기타
3rd row기타
4th row중
5th row특대

Common Values

ValueCountFrequency (%)
기타6521
65.2%
대1029
 
10.3%
40내697
 
7.0%
50내464
 
4.6%
중277
 
2.8%
특대247
 
2.5%
소136
 
1.4%
2095
 
0.9%
1068
 
0.7%
259
 
0.6%
Other values (29)407
 
4.1%

Length

2022-08-12T23:42:18.957951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타6521
65.2%
대1029
 
10.3%
40내697
 
7.0%
50내464
 
4.6%
중277
 
2.8%
특대247
 
2.5%
소136
 
1.4%
2095
 
0.9%
1068
 
0.7%
259
 
0.6%
Other values (29)407
 
4.1%

STD_QLITY_NEW_CODE
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
11
7502 
12
977 
1Z
 
429
13
 
377
7Z
 
329
Other values (9)
 
386

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row7Z
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
117502
75.0%
12977
 
9.8%
1Z429
 
4.3%
13377
 
3.8%
7Z329
 
3.3%
19122
 
1.2%
14104
 
1.0%
1581
 
0.8%
7330
 
0.3%
1C24
 
0.2%
Other values (4)25
 
0.2%

Length

2022-08-12T23:42:19.164307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
117502
75.0%
12977
 
9.8%
1z429
 
4.3%
13377
 
3.8%
7z329
 
3.3%
19122
 
1.2%
14104
 
1.0%
1581
 
0.8%
7330
 
0.3%
1c24
 
0.2%
Other values (4)25
 
0.2%

STD_QLITY_NEW_NM
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
특
7502 
상
977 
무등급
758 
보통
 
377
등외
 
122
Other values (7)
 
264

Length

Max length3
Median length1
Mean length1.2339
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row무등급
2nd row특
3rd row특
4th row특
5th row특

Common Values

ValueCountFrequency (%)
특7502
75.0%
상977
 
9.8%
무등급758
 
7.6%
보통377
 
3.8%
등외122
 
1.2%
4등104
 
1.0%
5등81
 
0.8%
자연산36
 
0.4%
무농약24
 
0.2%
6등15
 
0.1%
Other values (2)4
 
< 0.1%

Length

2022-08-12T23:42:19.343670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
특7502
75.0%
상977
 
9.8%
무등급758
 
7.6%
보통377
 
3.8%
등외122
 
1.2%
4등104
 
1.0%
5등81
 
0.8%
자연산36
 
0.4%
무농약24
 
0.2%
6등15
 
0.1%
Other values (2)4
 
< 0.1%

CPR_USE_PRDLST_CODE
Real number (ℝ≥0)

MISSING

Distinct270
Distinct (%)15.3%
Missing8234
Missing (%)82.3%
Infinite0
Infinite (%)0.0%
Mean148596.2967
Minimum14
Maximum830299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2022-08-12T23:42:19.556419image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile1601
Q13102
median6806
Q380413
95-th percentile740501
Maximum830299
Range830285
Interquartile range (IQR)77311

Descriptive statistics

Standard deviation267686.2669
Coefficient of variation (CV)1.801432962
Kurtosis0.8161150445
Mean148596.2967
Median Absolute Deviation (MAD)4492
Skewness1.633751215
Sum262421060
Variance7.16559375 × 1010
MonotonicityNot monotonic
2022-08-12T23:42:19.798315image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2314213
 
2.1%
80413166
 
1.7%
700159
 
0.6%
74050154
 
0.5%
160151
 
0.5%
2051433
 
0.3%
72330132
 
0.3%
72060131
 
0.3%
670129
 
0.3%
680628
 
0.3%
Other values (260)1070
 
10.7%
(Missing)8234
82.3%
ValueCountFrequency (%)
141
 
< 0.1%
243
 
< 0.1%
10035
 
0.1%
104613
 
0.1%
11018
 
0.1%
12044
 
< 0.1%
12141
 
< 0.1%
140110
 
0.1%
14205
 
0.1%
160151
0.5%
ValueCountFrequency (%)
8302991
 
< 0.1%
7769062
< 0.1%
7621011
 
< 0.1%
7616014
< 0.1%
7615011
 
< 0.1%
7601011
 
< 0.1%
7525013
< 0.1%
7522013
< 0.1%
7519013
< 0.1%
7514012
< 0.1%

CPR_USE_PRDLST_NM
Categorical

HIGH CARDINALITY
MISSING

Distinct157
Distinct (%)8.8%
Missing8214
Missing (%)82.1%
Memory size78.2 KiB
딸기
465 
새송이
 
66
감귤
 
65
낙지
 
56
표고버섯
 
49
Other values (152)
1085 

Length

Max length10
Median length2
Mean length2.692049272
Min length1

Unique

Unique38 ?
Unique (%)2.1%

Sample

1st row파래
2nd row딸기
3rd row굴
4th row키조개
5th row딸기

Common Values

ValueCountFrequency (%)
딸기465
 
4.7%
새송이66
 
0.7%
감귤65
 
0.7%
낙지56
 
0.6%
표고버섯49
 
0.5%
느타리버섯48
 
0.5%
오이39
 
0.4%
풋고추38
 
0.4%
만감37
 
0.4%
상추35
 
0.4%
Other values (147)888
 
8.9%
(Missing)8214
82.1%

Length

2022-08-12T23:42:20.007973image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
딸기465
26.0%
새송이66
 
3.7%
감귤65
 
3.6%
낙지56
 
3.1%
표고버섯49
 
2.7%
느타리버섯48
 
2.7%
오이39
 
2.2%
풋고추38
 
2.1%
만감37
 
2.1%
상추35
 
2.0%
Other values (147)888
49.7%

SBID_PRIC
Real number (ℝ≥0)

SKEWED

Distinct720
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31988.275
Minimum100
Maximum11412000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2022-08-12T23:42:20.171805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile3500
Q110700
median18500
Q332000
95-th percentile87000
Maximum11412000
Range11411900
Interquartile range (IQR)21300

Descriptive statistics

Standard deviation183312.7952
Coefficient of variation (CV)5.730624587
Kurtosis3010.449325
Mean31988.275
Median Absolute Deviation (MAD)9500
Skewness51.94745747
Sum319882750
Variance3.360358089 × 1010
MonotonicityNot monotonic
2022-08-12T23:42:20.394736image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14000299
 
3.0%
18000283
 
2.8%
16000274
 
2.7%
12000263
 
2.6%
10000260
 
2.6%
20000252
 
2.5%
15000248
 
2.5%
13000248
 
2.5%
8000205
 
2.1%
17000195
 
1.9%
Other values (710)7473
74.7%
ValueCountFrequency (%)
1001
 
< 0.1%
3501
 
< 0.1%
4001
 
< 0.1%
4202
 
< 0.1%
5002
 
< 0.1%
5303
 
< 0.1%
55012
0.1%
6304
 
< 0.1%
6502
 
< 0.1%
7502
 
< 0.1%
ValueCountFrequency (%)
114120001
< 0.1%
112320001
< 0.1%
53240001
< 0.1%
43400002
< 0.1%
22410001
< 0.1%
5850001
< 0.1%
5000001
< 0.1%
4700001
< 0.1%
3450601
< 0.1%
3300002
< 0.1%

SHIPMNT_SE_CODE
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
<NA>
8184 
3
1114 
2
 
342
1
 
284
5
 
43

Length

Max length4
Median length4
Mean length3.4552
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA>8184
81.8%
31114
 
11.1%
2342
 
3.4%
1284
 
2.8%
543
 
0.4%
433
 
0.3%

Length

2022-08-12T23:42:20.730745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-12T23:42:20.900866image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
na8184
81.8%
31114
 
11.1%
2342
 
3.4%
1284
 
2.8%
543
 
0.4%
433
 
0.3%

SHIPMNT_SE_NM
Categorical

MISSING

Distinct5
Distinct (%)0.3%
Missing8184
Missing (%)81.8%
Memory size78.2 KiB
개별
1114 
계통
342 
협동
284 
수입
 
43
상인
 
33

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개별
2nd row계통
3rd row개별
4th row개별
5th row개별

Common Values

ValueCountFrequency (%)
개별1114
 
11.1%
계통342
 
3.4%
협동284
 
2.8%
수입43
 
0.4%
상인33
 
0.3%
(Missing)8184
81.8%

Length

2022-08-12T23:42:21.037777image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-12T23:42:21.188431image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
개별1114
61.3%
계통342
 
18.8%
협동284
 
15.6%
수입43
 
2.4%
상인33
 
1.8%

STD_MTC_NEW_CODE
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size78.2 KiB

STD_MTC_NEW_NM
Categorical

HIGH CARDINALITY
MISSING

Distinct142
Distinct (%)1.5%
Missing710
Missing (%)7.1%
Memory size78.2 KiB
경상남도 진주시
845 
전라남도 담양군
 
569
경상남도 고성군
 
392
경상남도 산청군
 
386
충청남도 논산시
 
319
Other values (137)
6779 

Length

Max length12
Median length8
Mean length7.910010764
Min length2

Unique

Unique11 ?
Unique (%)0.1%

Sample

1st row대한민국
2nd row경상남도 하동군
3rd row전라남도 장흥군
4th row전라북도 순창군
5th row경상남도 거창군

Common Values

ValueCountFrequency (%)
경상남도 진주시845
 
8.5%
전라남도 담양군569
 
5.7%
경상남도 고성군392
 
3.9%
경상남도 산청군386
 
3.9%
충청남도 논산시319
 
3.2%
제주특별자치도 서귀포시308
 
3.1%
경상남도 밀양시295
 
2.9%
대한민국293
 
2.9%
전라남도 순천시258
 
2.6%
부산광역시 강서구230
 
2.3%
Other values (132)5395
53.9%
(Missing)710
 
7.1%

Length

2022-08-12T23:42:21.323588image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상남도2628
 
14.6%
전라남도1801
 
10.0%
충청남도1039
 
5.8%
진주시845
 
4.7%
경기도672
 
3.7%
경상북도617
 
3.4%
담양군569
 
3.2%
전라북도511
 
2.8%
제주특별자치도491
 
2.7%
고성군392
 
2.2%
Other values (136)8399
46.8%

CPR_MTC_CODE
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size78.2 KiB

CPR_MTC_NM
Categorical

HIGH CARDINALITY
MISSING

Distinct132
Distinct (%)1.6%
Missing1939
Missing (%)19.4%
Memory size78.2 KiB
경상남도 진주시
827 
전라남도 담양군
 
556
경상남도 산청군
 
386
경상남도 고성군
 
364
충청남도 논산시
 
298
Other values (127)
5630 

Length

Max length16
Median length8
Mean length7.6084853
Min length2

Unique

Unique13 ?
Unique (%)0.2%

Sample

1st row한국
2nd row전라남도 장흥군
3rd row전라북도 순창군
4th row경상남도 거창군
5th row광주광역시 남구

Common Values

ValueCountFrequency (%)
경상남도 진주시827
 
8.3%
전라남도 담양군556
 
5.6%
경상남도 산청군386
 
3.9%
경상남도 고성군364
 
3.6%
충청남도 논산시298
 
3.0%
한국293
 
2.9%
경상남도 밀양시286
 
2.9%
제주도 서귀포시258
 
2.6%
부산광역시 강서구229
 
2.3%
경상남도 거창군199
 
2.0%
Other values (122)4365
43.6%
(Missing)1939
19.4%

Length

2022-08-12T23:42:21.468894image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상남도2510
 
16.1%
전라남도1455
 
9.4%
충청남도1013
 
6.5%
진주시827
 
5.3%
경기도651
 
4.2%
담양군556
 
3.6%
전라북도440
 
2.8%
경상북도436
 
2.8%
산청군386
 
2.5%
고성군364
 
2.3%
Other values (129)6912
44.5%

DELNG_QY
Real number (ℝ)

SKEWED

Distinct255
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.7621
Minimum-162
Maximum33670
Zeros0
Zeros (%)0.0%
Negative25
Negative (%)0.2%
Memory size88.0 KiB
2022-08-12T23:42:21.644187image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-162
5-th percentile1
Q14
median14
Q340
95-th percentile108
Maximum33670
Range33832
Interquartile range (IQR)36

Descriptive statistics

Standard deviation354.6132467
Coefficient of variation (CV)8.699582375
Kurtosis8097.031051
Mean40.7621
Median Absolute Deviation (MAD)12
Skewness85.92836555
Sum407621
Variance125750.5548
MonotonicityNot monotonic
2022-08-12T23:42:21.801585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11021
 
10.2%
2641
 
6.4%
3526
 
5.3%
5448
 
4.5%
10408
 
4.1%
4374
 
3.7%
6303
 
3.0%
20281
 
2.8%
8251
 
2.5%
15228
 
2.3%
Other values (245)5519
55.2%
ValueCountFrequency (%)
-1621
< 0.1%
-861
< 0.1%
-812
< 0.1%
-551
< 0.1%
-461
< 0.1%
-401
< 0.1%
-371
< 0.1%
-352
< 0.1%
-321
< 0.1%
-301
< 0.1%
ValueCountFrequency (%)
336701
< 0.1%
50271
< 0.1%
34921
< 0.1%
29002
< 0.1%
23001
< 0.1%
20001
< 0.1%
19991
< 0.1%
19961
< 0.1%
14401
< 0.1%
11601
< 0.1%

Sample

First rows

df_indexDELNG_DESBID_TIMEAUC_SE_CODEAUC_SE_NMWHSAL_MRKT_NEW_CODEWHSAL_MRKT_NEW_NMWHSAL_MRKT_CODEWHSAL_MRKT_NMCPR_INSTT_NEW_CODEINSTT_NEW_NMCPR_INSTT_CODEINSTT_NMLEDG_NOSLE_SEQNCATGORY_NEW_CODECATGORY_NEW_NMCATGORY_CODECATGORY_NMSTD_PRDLST_NEW_CODESTD_PRDLST_NEW_NMSTD_PRDLST_CODESTD_PRDLST_NMSTD_SPCIES_NEW_CODESTD_SPCIES_NEW_NMSTD_SPCIES_CODESTD_SPCIES_NMDELNG_PRUTSTD_UNIT_NEW_CODESTD_UNIT_NEW_NMSTD_FRMLC_NEW_CODESTD_FRMLC_NEW_NMSTD_MG_NEW_CODESTD_MG_NEW_NMSTD_QLITY_NEW_CODESTD_QLITY_NEW_NMCPR_USE_PRDLST_CODECPR_USE_PRDLST_NMSBID_PRICSHIPMNT_SE_CODESHIPMNT_SE_NMSTD_MTC_NEW_CODESTD_MTC_NEW_NMCPR_MTC_CODECPR_MTC_NMDELNG_QY
0112520220203<NA>1경매1061901광주서부농수산물도매시장240004광주서부도매시장6061902농협광주(공)24000404광주수협(공)2022193456281해조류76신선 해조류8113파래류7610파래811301홑파래(신선/냉장)(미가공)761003파래4.072kg701상자782대7Z무등급752501파래125003개별800KR대한민국800KR한국1
1445320220203<NA>1경매1057901순천농산물도매시장360301순천도매시장6057905순천원협(공)36030102순천원협(공)1067809과채류8과일과채류0909딸기804딸기090999기타80499기타1.012kg101상자1ZZ기타11특<NA>딸기240002계통52300경상남도 하동군667893<NA>28
210138202202042022-02-04 ::1경매1005601가락동농수산물시장110001서울가락도매시장6005601서울청과11000101서울청과22020500045543113양채류13양채류1326파프리카1326파프리카132604오렌지파프리카132604오렌지파프리카5.012kg101상자1ZZ기타11특<NA><NA>33000<NA><NA>59300전라남도 장흥군529000전라남도 장흥군3
312799202202042022-02-04 ::1경매1005601가락동농수산물시장110001서울가락도매시장6005601서울청과11000101서울청과2202070154171419과채류8과일과채류0909딸기804딸기090913설향80413설향2.012kg101상자183중11특<NA><NA>11000<NA><NA>56000전라북도 순창군595000전라북도 순창군9
46988202202042022-02-04 ::1경매1005601가락동농수산물시장110001서울가락도매시장6005601서울청과11000101서울청과2202050004270319과채류8과일과채류0909딸기804딸기090913설향80413설향1.012kg103PE대181특대11특<NA><NA>12000<NA><NA>50100경상남도 거창군670000경상남도 거창군48
528173202202042022-02-04 ::1경매1005601가락동농수산물시장110001서울가락도매시장6005607농협가락(공)11000102농협가락(공)22020701599024113양채류13양채류1302피망(단고추)1302피망(단고추)130202홍피망130202홍피망10.012kg101상자1ZZ기타12상<NA><NA>30000<NA><NA>61700광주광역시 남구503000광주광역시 남구3
616120202202042022-02-04 ::1경매1005601가락동농수산물시장110001서울가락도매시장6005601서울청과11000101서울청과22020701544741113양채류13양채류1326파프리카1326파프리카132602노랑파프리카132602노랑파프리카5.012kg107파렛트1ZZ기타11특<NA><NA>36000<NA><NA>52600경상남도 진주시660000경상남도 진주시99
7135220220203<NA>1경매1061901광주서부농수산물도매시장240004광주서부도매시장6061902농협광주(공)24000404광주수협(공)20221959811262해면패류72신선 해면패류6204굴류7206굴620401굴(참굴)(신선/냉장)(탈각/탈피)720601깐굴1.072kg707S/P782대7Z무등급720601굴100003개별800KR대한민국800KR한국30
873320220203<NA>2정가수의1061901광주서부농수산물도매시장240004광주서부도매시장6061902농협광주(공)24000404광주수협(공)2022189214762해면패류72신선 해면패류6219키조개류7210조개621901키조개(신선/냉장)(미가공)721008키조개0.472kg705그물망782대7Z무등급723406키조개34003개별800KR대한민국800KR한국200
912337202202042022-02-04 ::1경매1005601가락동농수산물시장110001서울가락도매시장6005601서울청과11000101서울청과2202070154129319과채류8과일과채류0911방울토마토806방울토마토091103대추방울80603대추방울3.012kg101상자1ZZ기타11특<NA><NA>17000<NA><NA>33300충청남도 청양군345000충청남도 청양군44

Last rows

df_indexDELNG_DESBID_TIMEAUC_SE_CODEAUC_SE_NMWHSAL_MRKT_NEW_CODEWHSAL_MRKT_NEW_NMWHSAL_MRKT_CODEWHSAL_MRKT_NMCPR_INSTT_NEW_CODEINSTT_NEW_NMCPR_INSTT_CODEINSTT_NMLEDG_NOSLE_SEQNCATGORY_NEW_CODECATGORY_NEW_NMCATGORY_CODECATGORY_NMSTD_PRDLST_NEW_CODESTD_PRDLST_NEW_NMSTD_PRDLST_CODESTD_PRDLST_NMSTD_SPCIES_NEW_CODESTD_SPCIES_NEW_NMSTD_SPCIES_CODESTD_SPCIES_NMDELNG_PRUTSTD_UNIT_NEW_CODESTD_UNIT_NEW_NMSTD_FRMLC_NEW_CODESTD_FRMLC_NEW_NMSTD_MG_NEW_CODESTD_MG_NEW_NMSTD_QLITY_NEW_CODESTD_QLITY_NEW_NMCPR_USE_PRDLST_CODECPR_USE_PRDLST_NMSBID_PRICSHIPMNT_SE_CODESHIPMNT_SE_NMSTD_MTC_NEW_CODESTD_MTC_NEW_NMCPR_MTC_CODECPR_MTC_NMDELNG_QY
999027196202202042022-02-04 ::1경매1005601가락동농수산물시장110001서울가락도매시장6005607농협가락(공)11000102농협가락(공)2202070159803319과채류9과채류903가지903가지90301가지(일반)90301가지(일반)8.012kg101상자1ZZ기타13보통<NA><NA>7500<NA><NA>12600경기도 여주시469000경기도 여주군12
999121342202202042022-02-04 ::1경매1005601가락동농수산물시장110001서울가락도매시장6005607농협가락(공)11000102농협가락(공)2202050010727719과채류9과채류901오이901오이90101취청90101취청20.012kg101상자1ZZ기타13보통<NA><NA>20000<NA><NA>57600전라남도 구례군542000전라남도 구례군1
99929637202202042022-02-04 ::1경매1005601가락동농수산물시장110001서울가락도매시장6005601서울청과11000101서울청과2202050004509215서류5서류0502고구마502고구마050299기타50299기타10.012kg101상자184소11특<NA><NA>10000<NA><NA>12600경기도 여주시469000경기도 여주군18
9993278520220203<NA>1경매1027301충주농수산물도매시장330201충주도매시장6027302충북원협(충주)33020101충북원협(충주)20131012조미채소류12조미채소류1202대파1202대파120201대파(일반)120201대파(일반)4.012kg108봉지101111특5201대파23003개별27300충청북도 충주시380240<NA>13
999415154202202042022-02-04 ::1경매1005601가락동농수산물시장110001서울가락도매시장6005601서울청과11000101서울청과220207015438619과채류8과일과채류0909딸기804딸기090913설향80413설향2.012kg101상자182대11특<NA><NA>23000<NA><NA>52200경상남도 산청군666000경상남도 산청군40
9995177020220203<NA>2정가수의1026301원주농산물도매시장320201원주도매시장6026302원주원협(공)32020102원주원협(공)40350081해조류76신선 해조류8108모자반류7609우뭇가사리810801톳(신선/냉장)(미가공)760904톳4.012kg101상자12550내11특8016모자반63003개별05600서울특별시 송파구138701<NA>1
99965674202202042022-02-04 ::1경매1005601가락동농수산물시장110001서울가락도매시장6005601서울청과11000101서울청과220205000415219과채류8과일과채류0909딸기804딸기090913설향80413설향2.012kg101상자1ZZ기타11특<NA><NA>39000<NA><NA>57300전라남도 담양군517000전라남도 담양군6
999717958202202042022-02-04 ::1경매1005601가락동농수산물시장110001서울가락도매시장6005601서울청과11000101서울청과22020701546412112조미채소류12조미채소류1205고추1205풋고추120503녹광120503녹광10.012kg101상자1ZZ기타12상<NA><NA>27000<NA><NA>52600경상남도 진주시660000경상남도 진주시2
99988416202202042022-02-04 ::1경매1005601가락동농수산물시장110001서울가락도매시장6005601서울청과11000101서울청과22020500043990113양채류13양채류1326파프리카1326파프리카132603빨강파프리카132603빨강파프리카5.012kg107파렛트1ZZ기타11특<NA><NA>34000<NA><NA>59300전라남도 장흥군529000전라남도 장흥군108
999926154202202042022-02-04 ::8<NA>1005601가락동농수산물시장110001서울가락도매시장6005607농협가락(공)11000102농협가락(공)220207015912113116특용작물류16특용작물류1603땅콩1603땅콩160399기타160399기타10.012kg101상자1ZZ기타11특<NA><NA>40000<NA><NA>0<NA>800000<NA>50