Overview

Dataset statistics

Number of variables14
Number of observations10000
Missing cells30000
Missing cells (%)21.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory129.0 B

Variable types

Numeric6
Text2
Categorical3
Unsupported3

Dataset

Description거래일,품목 및 품명,등급,평균가,전일평균,등락,거래단위,최저가,최고가,전일대비(%),전7일평균,전7일대비(%),시장구분
Author서울시농수산식품공사
URLhttps://data.seoul.go.kr/dataList/OA-20951/S/1/datasetView.do

Alerts

구분 has constant value ""Constant
평균가 is highly overall correlated with 최저가 and 1 other fieldsHigh correlation
등락 is highly overall correlated with 전7일대비(%)High correlation
최저가 is highly overall correlated with 평균가 and 1 other fieldsHigh correlation
최고가 is highly overall correlated with 평균가 and 1 other fieldsHigh correlation
전7일대비(%) is highly overall correlated with 등락High correlation
전일평균 has 10000 (100.0%) missing valuesMissing
전일대비(%) has 10000 (100.0%) missing valuesMissing
전7일평균 has 10000 (100.0%) missing valuesMissing
전일평균 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전일대비(%) is an unsupported type, check if it needs cleaning or further analysisUnsupported
전7일평균 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등락 has 2201 (22.0%) zerosZeros
전7일대비(%) has 2201 (22.0%) zerosZeros

Reproduction

Analysis started2024-05-18 04:11:41.884770
Analysis finished2024-05-18 04:12:01.424829
Duration19.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

거래일
Real number (ℝ)

Distinct88
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240348
Minimum20240201
Maximum20240517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T13:12:01.778158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240201
5-th percentile20240206
Q120240229
median20240323
Q320240420
95-th percentile20240513
Maximum20240517
Range316
Interquartile range (IQR)191

Descriptive statistics

Standard deviation101.2362
Coefficient of variation (CV)5.0017026 × 10-6
Kurtosis-1.1421732
Mean20240348
Median Absolute Deviation (MAD)95
Skewness0.14968232
Sum2.0240348 × 1011
Variance10248.769
MonotonicityNot monotonic
2024-05-18T13:12:02.315511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20240315 158
 
1.6%
20240314 148
 
1.5%
20240313 147
 
1.5%
20240229 144
 
1.4%
20240206 141
 
1.4%
20240320 139
 
1.4%
20240202 139
 
1.4%
20240311 135
 
1.4%
20240222 133
 
1.3%
20240306 131
 
1.3%
Other values (78) 8585
85.9%
ValueCountFrequency (%)
20240201 82
0.8%
20240202 139
1.4%
20240203 108
1.1%
20240205 130
1.3%
20240206 141
1.4%
20240207 118
1.2%
20240213 121
1.2%
20240214 127
1.3%
20240215 98
1.0%
20240216 113
1.1%
ValueCountFrequency (%)
20240517 114
1.1%
20240516 100
1.0%
20240515 107
1.1%
20240514 114
1.1%
20240513 96
1.0%
20240511 102
1.0%
20240510 119
1.2%
20240509 104
1.0%
20240508 105
1.1%
20240507 106
1.1%

품목 및 품명
Text

Distinct285
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T13:12:03.223760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length4.7346
Min length1

Characters and Unicode

Total characters47346
Distinct characters273
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

Unique5 ?
Unique (%)< 0.1%

Sample

1st row감귤
2nd row팽이버섯
3rd row양송이
4th row양배추
5th row새우수입
ValueCountFrequency (%)
수입 641
 
4.5%
딸기 441
 
3.1%
사과 403
 
2.8%
감귤 281
 
2.0%
국산 276
 
2.0%
감자 261
 
1.8%
고구마 258
 
1.8%
토마토 232
 
1.6%
양파 230
 
1.6%
시금치 218
 
1.5%
Other values (283) 10904
77.1%
2024-05-18T13:12:04.524323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4145
 
8.8%
추 1488
 
3.1%
) 1305
 
2.8%
( 1305
 
2.8%
고 1144
 
2.4%
수 1073
 
2.3%
양 921
 
1.9%
감 894
 
1.9%
파 889
 
1.9%
리 888
 
1.9%
Other values (263) 33294
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40528
85.6%
Space Separator 4145
 
8.8%
Close Punctuation 1305
 
2.8%
Open Punctuation 1305
 
2.8%
Uppercase Letter 63
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
추 1488
 
3.7%
고 1144
 
2.8%
수 1073
 
2.6%
양 921
 
2.3%
감 894
 
2.2%
파 889
 
2.2%
리 888
 
2.2%
마 881
 
2.2%
일 756
 
1.9%
기 751
 
1.9%
Other values (257) 30843
76.1%
Uppercase Letter
ValueCountFrequency (%)
B 21
33.3%
A 21
33.3%
M 21
33.3%
Space Separator
ValueCountFrequency (%)
4145
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1305
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1305
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40528
85.6%
Common 6755
 
14.3%
Latin 63
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
추 1488
 
3.7%
고 1144
 
2.8%
수 1073
 
2.6%
양 921
 
2.3%
감 894
 
2.2%
파 889
 
2.2%
리 888
 
2.2%
마 881
 
2.2%
일 756
 
1.9%
기 751
 
1.9%
Other values (257) 30843
76.1%
Common
ValueCountFrequency (%)
4145
61.4%
) 1305
 
19.3%
( 1305
 
19.3%
Latin
ValueCountFrequency (%)
B 21
33.3%
A 21
33.3%
M 21
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40528
85.6%
ASCII 6818
 
14.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4145
60.8%
) 1305
 
19.1%
( 1305
 
19.1%
B 21
 
0.3%
A 21
 
0.3%
M 21
 
0.3%
Hangul
ValueCountFrequency (%)
추 1488
 
3.7%
고 1144
 
2.8%
수 1073
 
2.6%
양 921
 
2.3%
감 894
 
2.2%
파 889
 
2.2%
리 888
 
2.2%
마 881
 
2.2%
일 756
 
1.9%
기 751
 
1.9%
Other values (257) 30843
76.1%

등급
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상
2849 
보통
2741 
하
2558 
특
1614 
대
 
88
Other values (2)
 
150

Length

Max length2
Median length1
Mean length1.2741
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row하
2nd row보통
3rd row보통
4th row특
5th row상

Common Values

ValueCountFrequency (%)
상 2849
28.5%
보통 2741
27.4%
하 2558
25.6%
특 1614
16.1%
대 88
 
0.9%
중 75
 
0.8%
소 75
 
0.8%

Length

2024-05-18T13:12:05.115382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:12:05.611812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상 2849
28.5%
보통 2741
27.4%
하 2558
25.6%
특 1614
16.1%
대 88
 
0.9%
중 75
 
0.8%
소 75
 
0.8%

평균가
Real number (ℝ)

HIGH CORRELATION 

Distinct7717
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30044.107
Minimum140
Maximum400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T13:12:06.190949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile2752.95
Q110099.75
median19949
Q338215.25
95-th percentile89762.4
Maximum400000
Range399860
Interquartile range (IQR)28115.5

Descriptive statistics

Standard deviation32561.105
Coefficient of variation (CV)1.0837768
Kurtosis14.411535
Mean30044.107
Median Absolute Deviation (MAD)12162.5
Skewness3.0182909
Sum3.0044107 × 108
Variance1.0602256 × 109
MonotonicityNot monotonic
2024-05-18T13:12:06.745617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16000 40
 
0.4%
13000 32
 
0.3%
40000 30
 
0.3%
9000 29
 
0.3%
10000 29
 
0.3%
35000 28
 
0.3%
31000 27
 
0.3%
24000 27
 
0.3%
20000 27
 
0.3%
33000 26
 
0.3%
Other values (7707) 9705
97.0%
ValueCountFrequency (%)
140 3
< 0.1%
185 1
 
< 0.1%
187 2
< 0.1%
230 4
< 0.1%
233 3
< 0.1%
250 3
< 0.1%
255 1
 
< 0.1%
257 1
 
< 0.1%
259 1
 
< 0.1%
264 1
 
< 0.1%
ValueCountFrequency (%)
400000 1
< 0.1%
385000 1
< 0.1%
366667 1
< 0.1%
337778 1
< 0.1%
296296 1
< 0.1%
286667 1
< 0.1%
285334 1
< 0.1%
278933 1
< 0.1%
277778 1
< 0.1%
272727 1
< 0.1%

전일평균
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

등락
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct5440
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1025.2485
Minimum-210000
Maximum358724
Zeros2201
Zeros (%)22.0%
Negative3911
Negative (%)39.1%
Memory size166.0 KiB
2024-05-18T13:12:07.276980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-210000
5-th percentile-6961
Q1-796
median0
Q3892.5
95-th percentile10533.05
Maximum358724
Range568724
Interquartile range (IQR)1688.5

Descriptive statistics

Standard deviation13021.694
Coefficient of variation (CV)12.701013
Kurtosis164.44795
Mean1025.2485
Median Absolute Deviation (MAD)841
Skewness7.5129439
Sum10252485
Variance1.6956452 × 108
MonotonicityNot monotonic
2024-05-18T13:12:07.830794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2201
 
22.0%
-1000 16
 
0.2%
1000 16
 
0.2%
-2000 13
 
0.1%
-500 11
 
0.1%
3500 9
 
0.1%
-3000 9
 
0.1%
-18 9
 
0.1%
2000 9
 
0.1%
-16 8
 
0.1%
Other values (5430) 7699
77.0%
ValueCountFrequency (%)
-210000 1
< 0.1%
-165303 1
< 0.1%
-145392 1
< 0.1%
-114666 1
< 0.1%
-113300 1
< 0.1%
-99747 1
< 0.1%
-97143 1
< 0.1%
-90625 1
< 0.1%
-87779 1
< 0.1%
-87000 1
< 0.1%
ValueCountFrequency (%)
358724 1
< 0.1%
299444 1
< 0.1%
242000 1
< 0.1%
223111 1
< 0.1%
218667 1
< 0.1%
207778 1
< 0.1%
176250 1
< 0.1%
172000 1
< 0.1%
171000 1
< 0.1%
160000 1
< 0.1%

거래단위
Text

Distinct65
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T13:12:08.251626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length6.1417
Min length3

Characters and Unicode

Total characters61417
Distinct characters30
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row5 kg상자
2nd row100 g
3rd row2 kg상자
4th row10 Kg그물망
5th row10 kg상자
ValueCountFrequency (%)
kg상자 7572
37.9%
10 2528
 
12.6%
kg 1315
 
6.6%
4 1234
 
6.2%
1 1097
 
5.5%
2 1071
 
5.4%
5 862
 
4.3%
8 735
 
3.7%
20 553
 
2.8%
3 342
 
1.7%
Other values (33) 2691
 
13.5%
2024-05-18T13:12:09.131889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
16.3%
g 9705
15.8%
k 9248
15.1%
상 7600
12.4%
자 7600
12.4%
1 4565
7.4%
0 3911
 
6.4%
2 1905
 
3.1%
5 1737
 
2.8%
4 1281
 
2.1%
Other values (20) 3865
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 18953
30.9%
Other Letter 16707
27.2%
Decimal Number 14894
24.3%
Space Separator 10000
16.3%
Other Punctuation 436
 
0.7%
Uppercase Letter 371
 
0.6%
Open Punctuation 28
 
< 0.1%
Close Punctuation 28
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4565
30.6%
0 3911
26.3%
2 1905
12.8%
5 1737
 
11.7%
4 1281
 
8.6%
8 755
 
5.1%
3 434
 
2.9%
6 135
 
0.9%
7 104
 
0.7%
9 67
 
0.4%
Other Letter
ValueCountFrequency (%)
상 7600
45.5%
자 7600
45.5%
단 415
 
2.5%
개 355
 
2.1%
망 217
 
1.3%
물 217
 
1.3%
그 217
 
1.3%
속 51
 
0.3%
대 35
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
K 217
58.5%
P 70
 
18.9%
E 28
 
7.5%
A 28
 
7.5%
N 28
 
7.5%
Lowercase Letter
ValueCountFrequency (%)
g 9705
51.2%
k 9248
48.8%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
. 436
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25386
41.3%
Latin 19324
31.5%
Hangul 16707
27.2%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
39.4%
1 4565
18.0%
0 3911
 
15.4%
2 1905
 
7.5%
5 1737
 
6.8%
4 1281
 
5.0%
8 755
 
3.0%
. 436
 
1.7%
3 434
 
1.7%
6 135
 
0.5%
Other values (4) 227
 
0.9%
Hangul
ValueCountFrequency (%)
상 7600
45.5%
자 7600
45.5%
단 415
 
2.5%
개 355
 
2.1%
망 217
 
1.3%
물 217
 
1.3%
그 217
 
1.3%
속 51
 
0.3%
대 35
 
0.2%
Latin
ValueCountFrequency (%)
g 9705
50.2%
k 9248
47.9%
K 217
 
1.1%
P 70
 
0.4%
E 28
 
0.1%
A 28
 
0.1%
N 28
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44710
72.8%
Hangul 16707
 
27.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.4%
g 9705
21.7%
k 9248
20.7%
1 4565
10.2%
0 3911
 
8.7%
2 1905
 
4.3%
5 1737
 
3.9%
4 1281
 
2.9%
8 755
 
1.7%
. 436
 
1.0%
Other values (11) 1167
 
2.6%
Hangul
ValueCountFrequency (%)
상 7600
45.5%
자 7600
45.5%
단 415
 
2.5%
개 355
 
2.1%
망 217
 
1.3%
물 217
 
1.3%
그 217
 
1.3%
속 51
 
0.3%
대 35
 
0.2%

최저가
Real number (ℝ)

HIGH CORRELATION 

Distinct908
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26203.712
Minimum133
Maximum400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T13:12:09.729309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133
5-th percentile1950
Q17600
median16500
Q333500
95-th percentile80000
Maximum400000
Range399867
Interquartile range (IQR)25900

Descriptive statistics

Standard deviation30250.153
Coefficient of variation (CV)1.1544224
Kurtosis14.867184
Mean26203.712
Median Absolute Deviation (MAD)10500
Skewness3.1024522
Sum2.6203712 × 108
Variance9.1507173 × 108
MonotonicityNot monotonic
2024-05-18T13:12:10.345963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15000 214
 
2.1%
10000 179
 
1.8%
6000 178
 
1.8%
16000 174
 
1.7%
20000 170
 
1.7%
13000 168
 
1.7%
12000 167
 
1.7%
8000 163
 
1.6%
7000 143
 
1.4%
5000 141
 
1.4%
Other values (898) 8303
83.0%
ValueCountFrequency (%)
133 1
 
< 0.1%
140 5
0.1%
150 1
 
< 0.1%
185 1
 
< 0.1%
200 3
 
< 0.1%
230 7
0.1%
233 2
 
< 0.1%
242 1
 
< 0.1%
250 11
0.1%
273 1
 
< 0.1%
ValueCountFrequency (%)
400000 1
< 0.1%
360000 1
< 0.1%
286667 2
< 0.1%
280000 1
< 0.1%
266667 2
< 0.1%
250000 1
< 0.1%
246667 1
< 0.1%
240000 2
< 0.1%
233000 1
< 0.1%
226667 1
< 0.1%

최고가
Real number (ℝ)

HIGH CORRELATION 

Distinct968
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33653.915
Minimum140
Maximum400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T13:12:10.990526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile3148.65
Q111900
median23000
Q343000
95-th percentile100000
Maximum400000
Range399860
Interquartile range (IQR)31100

Descriptive statistics

Standard deviation36151.837
Coefficient of variation (CV)1.0742238
Kurtosis15.58362
Mean33653.915
Median Absolute Deviation (MAD)14000
Skewness3.0854509
Sum3.3653915 × 108
Variance1.3069553 × 109
MonotonicityNot monotonic
2024-05-18T13:12:11.464373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000 190
 
1.9%
16000 165
 
1.7%
30000 147
 
1.5%
15000 144
 
1.4%
18000 136
 
1.4%
25000 127
 
1.3%
24000 126
 
1.3%
19000 125
 
1.2%
40000 122
 
1.2%
14000 122
 
1.2%
Other values (958) 8596
86.0%
ValueCountFrequency (%)
140 3
 
< 0.1%
185 1
 
< 0.1%
230 6
 
0.1%
240 3
 
< 0.1%
250 3
 
< 0.1%
292 5
 
0.1%
350 19
0.2%
700 3
 
< 0.1%
710 1
 
< 0.1%
750 1
 
< 0.1%
ValueCountFrequency (%)
400000 6
0.1%
380000 1
 
< 0.1%
333333 1
 
< 0.1%
330000 1
 
< 0.1%
320000 1
 
< 0.1%
313333 1
 
< 0.1%
306667 1
 
< 0.1%
300000 1
 
< 0.1%
293333 1
 
< 0.1%
286667 4
< 0.1%

전일대비(%)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전7일평균
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전7일대비(%)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct5440
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1025.2485
Minimum-210000
Maximum358724
Zeros2201
Zeros (%)22.0%
Negative3911
Negative (%)39.1%
Memory size166.0 KiB
2024-05-18T13:12:11.951281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-210000
5-th percentile-6961
Q1-796
median0
Q3892.5
95-th percentile10533.05
Maximum358724
Range568724
Interquartile range (IQR)1688.5

Descriptive statistics

Standard deviation13021.694
Coefficient of variation (CV)12.701013
Kurtosis164.44795
Mean1025.2485
Median Absolute Deviation (MAD)841
Skewness7.5129439
Sum10252485
Variance1.6956452 × 108
MonotonicityNot monotonic
2024-05-18T13:12:12.495019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2201
 
22.0%
-1000 16
 
0.2%
1000 16
 
0.2%
-2000 13
 
0.1%
-500 11
 
0.1%
3500 9
 
0.1%
-3000 9
 
0.1%
-18 9
 
0.1%
2000 9
 
0.1%
-16 8
 
0.1%
Other values (5430) 7699
77.0%
ValueCountFrequency (%)
-210000 1
< 0.1%
-165303 1
< 0.1%
-145392 1
< 0.1%
-114666 1
< 0.1%
-113300 1
< 0.1%
-99747 1
< 0.1%
-97143 1
< 0.1%
-90625 1
< 0.1%
-87779 1
< 0.1%
-87000 1
< 0.1%
ValueCountFrequency (%)
358724 1
< 0.1%
299444 1
< 0.1%
242000 1
< 0.1%
223111 1
< 0.1%
218667 1
< 0.1%
207778 1
< 0.1%
176250 1
< 0.1%
172000 1
< 0.1%
171000 1
< 0.1%
160000 1
< 0.1%

시장구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가락시장
6541 
양곡시장
3459 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양곡시장
2nd row양곡시장
3rd row가락시장
4th row양곡시장
5th row가락시장

Common Values

ValueCountFrequency (%)
가락시장 6541
65.4%
양곡시장 3459
34.6%

Length

2024-05-18T13:12:12.945069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:12:13.265279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가락시장 6541
65.4%
양곡시장 3459
34.6%

구분
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
co 10000
100.0%

Length

2024-05-18T13:12:13.755097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:12:14.100707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
co 10000
100.0%

Interactions

2024-05-18T13:11:57.961268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:45.547043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:47.416061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:50.329975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:52.757498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:55.219177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:58.381845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:45.831885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:47.913298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:50.724584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:53.211958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:55.583671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:58.729883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:46.145611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:48.329132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:51.221261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:53.657115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:56.165734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:59.143421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:46.497628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:48.792117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:51.644397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:54.036947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:56.640617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:59.514283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:46.782215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:49.201890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:51.996014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:54.435966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:57.089046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:59.826709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:47.111751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:49.622956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:52.435467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:54.861619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:57.543325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T13:12:14.336551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
거래일등급평균가등락거래단위최저가최고가전7일대비(%)시장구분
거래일1.0000.0270.0630.0500.1980.0640.0700.0500.138
등급0.0271.0000.2010.0300.5460.2320.1940.0300.112
평균가0.0630.2011.0000.8150.5360.9760.9710.8150.100
등락0.0500.0300.8151.0000.1490.8640.7141.0000.073
거래단위0.1980.5460.5360.1491.0000.5070.5490.1490.502
최저가0.0640.2320.9760.8640.5071.0000.9280.8640.083
최고가0.0700.1940.9710.7140.5490.9281.0000.7140.123
전7일대비(%)0.0500.0300.8151.0000.1490.8640.7141.0000.073
시장구분0.1380.1120.1000.0730.5020.0830.1230.0731.000
2024-05-18T13:12:14.677776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시장구분등급
시장구분1.0000.120
등급0.1201.000
2024-05-18T13:12:14.946826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
거래일평균가등락최저가최고가전7일대비(%)등급시장구분
거래일1.000-0.098-0.033-0.109-0.091-0.0330.0160.097
평균가-0.0981.0000.0680.9620.9890.0680.1030.077
등락-0.0330.0681.0000.0640.0601.0000.0180.056
최저가-0.1090.9620.0641.0000.9330.0640.1190.064
최고가-0.0910.9890.0600.9331.0000.0600.0990.095
전7일대비(%)-0.0330.0681.0000.0640.0601.0000.0180.056
등급0.0160.1030.0180.1190.0990.0181.0000.120
시장구분0.0970.0770.0560.0640.0950.0560.1201.000

Missing values

2024-05-18T13:12:00.436445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T13:12:01.188486image/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

거래일품목 및 품명등급평균가전일평균등락거래단위최저가최고가전일대비(%)전7일평균전7일대비(%)시장구분구분
580720240511감귤하13000<NA>05 kg상자1300013000<NA><NA>0양곡시장co
8014320240224팽이버섯보통187<NA>0100 g140230<NA><NA>0양곡시장co
4406520240330양송이보통11950<NA>1542 kg상자850015000<NA><NA>154가락시장co
666420240510양배추특15500<NA>-106910 Kg그물망1550015500<NA><NA>-1069양곡시장co
5522220240318새우수입상133333<NA>010 kg상자125000150000<NA><NA>0가락시장co
1601520240501대추방울토마토하15405<NA>11263 kg상자400018000<NA><NA>1126가락시장co
8607620240219생표고하9333<NA>04 kg상자800011000<NA><NA>0가락시장co
2412020240422시금치특1650<NA>-150500 g단16501650<NA><NA>-150가락시장co
2921820240416홍청양고추보통85857<NA>010 kg상자8500088000<NA><NA>0양곡시장co
8892520240215대파(일반)특3267<NA>2801 kg단32003300<NA><NA>280양곡시장co
거래일품목 및 품명등급평균가전일평균등락거래단위최저가최고가전일대비(%)전7일평균전7일대비(%)시장구분구분
6415720240309만감 한라봉보통39254<NA>-17029 kg상자3500045000<NA><NA>-1702가락시장co
2526220240420새송이버섯하8433<NA>3364 kg상자80008500<NA><NA>336가락시장co
4987720240323딸기 설향상12445<NA>23351 kg상자1000015000<NA><NA>2335가락시장co
8587020240219토마토 완숙상23279<NA>7015 kg상자2200026000<NA><NA>701가락시장co
5821820240315수박보통26255<NA>010 kg상자2400034000<NA><NA>0양곡시장co
6374920240311활 돔(양식)중14285<NA>-3091 kg1350015000<NA><NA>-309가락시장co
2025520240426대추방울토마토보통15764<NA>-2293 kg상자1500016000<NA><NA>-229가락시장co
9596420240205감자 수미특41000<NA>020 kg상자4100041000<NA><NA>0양곡시장co
7215020240302방울토마토(일반)상13250<NA>05 kg상자1200014500<NA><NA>0양곡시장co
4329320240330멜론 파파야특67833<NA>010 kg상자6400075000<NA><NA>0가락시장co