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 2318 (23.2%) zerosZeros
전7일대비(%) has 2318 (23.2%) zerosZeros

Reproduction

Analysis started2024-05-11 09:51:29.438098
Analysis finished2024-05-11 09:51:49.745461
Duration20.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

거래일
Real number (ℝ)

Distinct87
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240323
Minimum20240126
Maximum20240510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:51:49.933251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240126
5-th percentile20240131
Q120240223
median20240317
Q320240412
95-th percentile20240506
Maximum20240510
Range384
Interquartile range (IQR)189

Descriptive statistics

Standard deviation103.66786
Coefficient of variation (CV)5.1218482 × 10-6
Kurtosis-0.84988602
Mean20240323
Median Absolute Deviation (MAD)95
Skewness0.017326046
Sum2.0240323 × 1011
Variance10747.026
MonotonicityNot monotonic
2024-05-11T09:51:50.406985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20240319 163
 
1.6%
20240129 144
 
1.4%
20240127 143
 
1.4%
20240203 142
 
1.4%
20240309 142
 
1.4%
20240229 140
 
1.4%
20240311 140
 
1.4%
20240318 140
 
1.4%
20240312 138
 
1.4%
20240221 138
 
1.4%
Other values (77) 8570
85.7%
ValueCountFrequency (%)
20240126 90
0.9%
20240127 143
1.4%
20240129 144
1.4%
20240130 123
1.2%
20240131 119
1.2%
20240201 108
1.1%
20240202 122
1.2%
20240203 142
1.4%
20240205 136
1.4%
20240206 118
1.2%
ValueCountFrequency (%)
20240510 103
1.0%
20240509 100
1.0%
20240508 95
0.9%
20240507 103
1.0%
20240506 101
1.0%
20240504 113
1.1%
20240503 125
1.2%
20240502 96
1.0%
20240501 110
1.1%
20240430 88
0.9%

품목 및 품명
Text

Distinct280
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T09:51:51.357769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length4.7125
Min length1

Characters and Unicode

Total characters47125
Distinct characters272
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

Unique6 ?
Unique (%)0.1%

Sample

1st row바나나 수입
2nd row냉동 가자미 수입
3rd row쥬키니호박
4th row적근대
5th row양파
ValueCountFrequency (%)
수입 582
 
4.1%
딸기 466
 
3.3%
사과 382
 
2.7%
감귤 302
 
2.1%
국산 280
 
2.0%
고구마 258
 
1.8%
양파 253
 
1.8%
만감 242
 
1.7%
토마토 225
 
1.6%
감자 225
 
1.6%
Other values (277) 10985
77.4%
2024-05-11T09:51:52.539787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4200
 
8.9%
추 1450
 
3.1%
) 1236
 
2.6%
( 1236
 
2.6%
고 1130
 
2.4%
수 986
 
2.1%
감 939
 
2.0%
양 900
 
1.9%
파 854
 
1.8%
마 851
 
1.8%
Other values (262) 33343
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40390
85.7%
Space Separator 4200
 
8.9%
Close Punctuation 1236
 
2.6%
Open Punctuation 1236
 
2.6%
Uppercase Letter 63
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
추 1450
 
3.6%
고 1130
 
2.8%
수 986
 
2.4%
감 939
 
2.3%
양 900
 
2.2%
파 854
 
2.1%
마 851
 
2.1%
리 820
 
2.0%
기 782
 
1.9%
일 697
 
1.7%
Other values (256) 30981
76.7%
Uppercase Letter
ValueCountFrequency (%)
B 21
33.3%
A 21
33.3%
M 21
33.3%
Space Separator
ValueCountFrequency (%)
4200
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1236
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40390
85.7%
Common 6672
 
14.2%
Latin 63
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
추 1450
 
3.6%
고 1130
 
2.8%
수 986
 
2.4%
감 939
 
2.3%
양 900
 
2.2%
파 854
 
2.1%
마 851
 
2.1%
리 820
 
2.0%
기 782
 
1.9%
일 697
 
1.7%
Other values (256) 30981
76.7%
Common
ValueCountFrequency (%)
4200
62.9%
) 1236
 
18.5%
( 1236
 
18.5%
Latin
ValueCountFrequency (%)
B 21
33.3%
A 21
33.3%
M 21
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40390
85.7%
ASCII 6735
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4200
62.4%
) 1236
 
18.4%
( 1236
 
18.4%
B 21
 
0.3%
A 21
 
0.3%
M 21
 
0.3%
Hangul
ValueCountFrequency (%)
추 1450
 
3.6%
고 1130
 
2.8%
수 986
 
2.4%
감 939
 
2.3%
양 900
 
2.2%
파 854
 
2.1%
마 851
 
2.1%
리 820
 
2.0%
기 782
 
1.9%
일 697
 
1.7%
Other values (256) 30981
76.7%

등급
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상
2867 
보통
2800 
하
2512 
특
1597 
소
 
80
Other values (2)
 
144

Length

Max length2
Median length1
Mean length1.28
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상 2867
28.7%
보통 2800
28.0%
하 2512
25.1%
특 1597
16.0%
소 80
 
0.8%
대 78
 
0.8%
중 66
 
0.7%

Length

2024-05-11T09:51:53.041495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:51:53.476467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상 2867
28.7%
보통 2800
28.0%
하 2512
25.1%
특 1597
16.0%
소 80
 
0.8%
대 78
 
0.8%
중 66
 
0.7%

평균가
Real number (ℝ)

HIGH CORRELATION 

Distinct7610
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30349.889
Minimum140
Maximum344848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:51:53.958428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile2613.7
Q110697.25
median20482
Q338460
95-th percentile93857.25
Maximum344848
Range344708
Interquartile range (IQR)27762.75

Descriptive statistics

Standard deviation31841.762
Coefficient of variation (CV)1.0491558
Kurtosis9.572531
Mean30349.889
Median Absolute Deviation (MAD)12164.5
Skewness2.6088718
Sum3.0349889 × 108
Variance1.0138978 × 109
MonotonicityNot monotonic
2024-05-11T09:51:54.524529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16000 44
 
0.4%
9000 31
 
0.3%
13000 30
 
0.3%
35000 30
 
0.3%
26000 29
 
0.3%
24000 29
 
0.3%
10000 27
 
0.3%
45000 25
 
0.2%
20000 24
 
0.2%
33000 24
 
0.2%
Other values (7600) 9707
97.1%
ValueCountFrequency (%)
140 3
 
< 0.1%
187 5
0.1%
230 9
0.1%
233 6
0.1%
250 4
< 0.1%
253 1
 
< 0.1%
268 1
 
< 0.1%
269 1
 
< 0.1%
301 1
 
< 0.1%
305 1
 
< 0.1%
ValueCountFrequency (%)
344848 1
< 0.1%
333333 1
< 0.1%
304875 1
< 0.1%
260500 1
< 0.1%
258571 1
< 0.1%
245000 1
< 0.1%
235555 1
< 0.1%
234625 1
< 0.1%
232000 1
< 0.1%
227364 1
< 0.1%

전일평균
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

등락
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct5368
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean795.3226
Minimum-167714
Maximum192000
Zeros2318
Zeros (%)23.2%
Negative3894
Negative (%)38.9%
Memory size166.0 KiB
2024-05-11T09:51:55.203220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-167714
5-th percentile-7111.1
Q1-813.25
median0
Q3895
95-th percentile11214.45
Maximum192000
Range359714
Interquartile range (IQR)1708.25

Descriptive statistics

Standard deviation11454.672
Coefficient of variation (CV)14.402548
Kurtosis79.131885
Mean795.3226
Median Absolute Deviation (MAD)862.5
Skewness3.796568
Sum7953226
Variance1.3120952 × 108
MonotonicityNot monotonic
2024-05-11T09:51:56.113731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2318
 
23.2%
2000 17
 
0.2%
-2000 15
 
0.1%
-1000 14
 
0.1%
1000 13
 
0.1%
3000 11
 
0.1%
-500 11
 
0.1%
-129 9
 
0.1%
-1500 8
 
0.1%
-182 7
 
0.1%
Other values (5358) 7577
75.8%
ValueCountFrequency (%)
-167714 1
< 0.1%
-162125 1
< 0.1%
-149200 1
< 0.1%
-132174 1
< 0.1%
-113333 1
< 0.1%
-93298 1
< 0.1%
-92016 1
< 0.1%
-86333 1
< 0.1%
-80000 1
< 0.1%
-76806 1
< 0.1%
ValueCountFrequency (%)
192000 1
< 0.1%
189999 1
< 0.1%
182727 1
< 0.1%
176250 1
< 0.1%
171000 1
< 0.1%
165000 1
< 0.1%
148628 1
< 0.1%
142250 1
< 0.1%
139167 1
< 0.1%
135000 1
< 0.1%

거래단위
Text

Distinct64
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T09:51:56.546160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length6.1458
Min length3

Characters and Unicode

Total characters61458
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 row13 kg상자
2nd row5 kg상자
3rd row10 kg상자
4th row2 kg상자
5th row15 kg
ValueCountFrequency (%)
kg상자 7559
37.8%
10 2481
 
12.4%
kg 1353
 
6.8%
4 1303
 
6.5%
1 1145
 
5.7%
2 1013
 
5.1%
5 878
 
4.4%
8 706
 
3.5%
20 519
 
2.6%
3 359
 
1.8%
Other values (32) 2684
 
13.4%
2024-05-11T09:51:57.591702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
16.3%
g 9742
15.9%
k 9270
15.1%
상 7595
12.4%
자 7595
12.4%
1 4609
7.5%
0 3832
 
6.2%
2 1790
 
2.9%
5 1772
 
2.9%
4 1346
 
2.2%
Other values (20) 3907
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19012
30.9%
Other Letter 16690
27.2%
Decimal Number 14834
24.1%
Space Separator 10000
16.3%
Other Punctuation 446
 
0.7%
Uppercase Letter 404
 
0.7%
Open Punctuation 36
 
0.1%
Close Punctuation 36
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4609
31.1%
0 3832
25.8%
2 1790
 
12.1%
5 1772
 
11.9%
4 1346
 
9.1%
8 728
 
4.9%
3 454
 
3.1%
6 130
 
0.9%
7 89
 
0.6%
9 84
 
0.6%
Other Letter
ValueCountFrequency (%)
상 7595
45.5%
자 7595
45.5%
단 415
 
2.5%
개 300
 
1.8%
망 231
 
1.4%
물 231
 
1.4%
그 231
 
1.4%
대 46
 
0.3%
속 46
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
K 231
57.2%
P 83
 
20.5%
E 36
 
8.9%
A 27
 
6.7%
N 27
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
g 9742
51.2%
k 9270
48.8%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
. 446
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25352
41.3%
Latin 19416
31.6%
Hangul 16690
27.2%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
39.4%
1 4609
18.2%
0 3832
 
15.1%
2 1790
 
7.1%
5 1772
 
7.0%
4 1346
 
5.3%
8 728
 
2.9%
3 454
 
1.8%
. 446
 
1.8%
6 130
 
0.5%
Other values (4) 245
 
1.0%
Hangul
ValueCountFrequency (%)
상 7595
45.5%
자 7595
45.5%
단 415
 
2.5%
개 300
 
1.8%
망 231
 
1.4%
물 231
 
1.4%
그 231
 
1.4%
대 46
 
0.3%
속 46
 
0.3%
Latin
ValueCountFrequency (%)
g 9742
50.2%
k 9270
47.7%
K 231
 
1.2%
P 83
 
0.4%
E 36
 
0.2%
A 27
 
0.1%
N 27
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44768
72.8%
Hangul 16690
 
27.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.3%
g 9742
21.8%
k 9270
20.7%
1 4609
10.3%
0 3832
 
8.6%
2 1790
 
4.0%
5 1772
 
4.0%
4 1346
 
3.0%
8 728
 
1.6%
3 454
 
1.0%
Other values (11) 1225
 
2.7%
Hangul
ValueCountFrequency (%)
상 7595
45.5%
자 7595
45.5%
단 415
 
2.5%
개 300
 
1.8%
망 231
 
1.4%
물 231
 
1.4%
그 231
 
1.4%
대 46
 
0.3%
속 46
 
0.3%

최저가
Real number (ℝ)

HIGH CORRELATION 

Distinct902
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26384.855
Minimum100
Maximum333333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:51:57.990780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile1800
Q18000
median17000
Q333500
95-th percentile82000
Maximum333333
Range333233
Interquartile range (IQR)25500

Descriptive statistics

Standard deviation29575.682
Coefficient of variation (CV)1.120934
Kurtosis11.127053
Mean26384.855
Median Absolute Deviation (MAD)11000
Skewness2.7979648
Sum2.6384854 × 108
Variance8.7472095 × 108
MonotonicityNot monotonic
2024-05-11T09:51:58.537547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 227
 
2.3%
15000 198
 
2.0%
16000 180
 
1.8%
20000 179
 
1.8%
12000 170
 
1.7%
6000 158
 
1.6%
18000 154
 
1.5%
13000 153
 
1.5%
5000 148
 
1.5%
25000 139
 
1.4%
Other values (892) 8294
82.9%
ValueCountFrequency (%)
100 1
 
< 0.1%
125 2
 
< 0.1%
133 1
 
< 0.1%
140 8
0.1%
200 8
0.1%
230 15
0.1%
233 1
 
< 0.1%
250 13
0.1%
267 1
 
< 0.1%
285 1
 
< 0.1%
ValueCountFrequency (%)
333333 1
< 0.1%
306667 1
< 0.1%
292000 1
< 0.1%
260000 1
< 0.1%
245000 1
< 0.1%
240000 1
< 0.1%
233000 1
< 0.1%
232000 1
< 0.1%
223000 1
< 0.1%
213000 1
< 0.1%

최고가
Real number (ℝ)

HIGH CORRELATION 

Distinct958
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34014.601
Minimum140
Maximum406667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:51:59.237025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile3000
Q112000
median23000
Q343000
95-th percentile107000
Maximum406667
Range406527
Interquartile range (IQR)31000

Descriptive statistics

Standard deviation35712.688
Coefficient of variation (CV)1.0499223
Kurtosis11.462345
Mean34014.601
Median Absolute Deviation (MAD)13500
Skewness2.7283565
Sum3.4014601 × 108
Variance1.2753961 × 109
MonotonicityNot monotonic
2024-05-11T09:51:59.942362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000 175
 
1.8%
16000 164
 
1.6%
25000 152
 
1.5%
15000 143
 
1.4%
18000 133
 
1.3%
40000 130
 
1.3%
22000 127
 
1.3%
24000 127
 
1.3%
14000 124
 
1.2%
35000 122
 
1.2%
Other values (948) 8603
86.0%
ValueCountFrequency (%)
140 3
 
< 0.1%
230 14
0.1%
240 6
 
0.1%
250 4
 
< 0.1%
273 1
 
< 0.1%
292 2
 
< 0.1%
333 1
 
< 0.1%
350 21
0.2%
500 1
 
< 0.1%
580 1
 
< 0.1%
ValueCountFrequency (%)
406667 1
< 0.1%
400000 2
< 0.1%
350000 1
< 0.1%
333333 1
< 0.1%
330000 1
< 0.1%
318000 1
< 0.1%
293333 1
< 0.1%
270000 1
< 0.1%
266000 1
< 0.1%
261000 1
< 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 

Distinct5368
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean795.3226
Minimum-167714
Maximum192000
Zeros2318
Zeros (%)23.2%
Negative3894
Negative (%)38.9%
Memory size166.0 KiB
2024-05-11T09:52:00.666052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-167714
5-th percentile-7111.1
Q1-813.25
median0
Q3895
95-th percentile11214.45
Maximum192000
Range359714
Interquartile range (IQR)1708.25

Descriptive statistics

Standard deviation11454.672
Coefficient of variation (CV)14.402548
Kurtosis79.131885
Mean795.3226
Median Absolute Deviation (MAD)862.5
Skewness3.796568
Sum7953226
Variance1.3120952 × 108
MonotonicityNot monotonic
2024-05-11T09:52:01.341730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2318
 
23.2%
2000 17
 
0.2%
-2000 15
 
0.1%
-1000 14
 
0.1%
1000 13
 
0.1%
3000 11
 
0.1%
-500 11
 
0.1%
-129 9
 
0.1%
-1500 8
 
0.1%
-182 7
 
0.1%
Other values (5358) 7577
75.8%
ValueCountFrequency (%)
-167714 1
< 0.1%
-162125 1
< 0.1%
-149200 1
< 0.1%
-132174 1
< 0.1%
-113333 1
< 0.1%
-93298 1
< 0.1%
-92016 1
< 0.1%
-86333 1
< 0.1%
-80000 1
< 0.1%
-76806 1
< 0.1%
ValueCountFrequency (%)
192000 1
< 0.1%
189999 1
< 0.1%
182727 1
< 0.1%
176250 1
< 0.1%
171000 1
< 0.1%
165000 1
< 0.1%
148628 1
< 0.1%
142250 1
< 0.1%
139167 1
< 0.1%
135000 1
< 0.1%

시장구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가락시장
6551 
양곡시장
3449 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가락시장 6551
65.5%
양곡시장 3449
34.5%

Length

2024-05-11T09:52:01.827391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:52:02.166808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가락시장 6551
65.5%
양곡시장 3449
34.5%

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

2024-05-11T09:52:02.522372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:52:02.871311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
co 10000
100.0%

Interactions

2024-05-11T09:51:46.807352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:35.007243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:37.652935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:40.161767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:42.510968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:45.007454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:47.116359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:35.417391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:38.082129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:40.524727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:42.965667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:45.326406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:47.424835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:36.067799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:38.595562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:40.858992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:43.370257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:45.619243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:47.718116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:36.488464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:39.003141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:41.369088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:43.742318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:45.918856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:48.005110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:36.871718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:39.432177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:41.731501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:44.073499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:46.209287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:48.315688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:37.235559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:39.828296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:42.091726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:44.644658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:51:46.512909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T09:52:03.073716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
거래일등급평균가등락거래단위최저가최고가전7일대비(%)시장구분
거래일1.0000.0360.0750.0520.1870.0660.0590.0520.110
등급0.0361.0000.2060.0450.5430.2530.1830.0450.112
평균가0.0750.2061.0000.5390.5790.9950.9580.5390.089
등락0.0520.0450.5391.0000.2500.5280.5031.0000.078
거래단위0.1870.5430.5790.2501.0000.5580.5610.2500.524
최저가0.0660.2530.9950.5280.5581.0000.9440.5280.079
최고가0.0590.1830.9580.5030.5610.9441.0000.5030.107
전7일대비(%)0.0520.0450.5391.0000.2500.5280.5031.0000.078
시장구분0.1100.1120.0890.0780.5240.0790.1070.0781.000
2024-05-11T09:52:03.428220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시장구분등급
시장구분1.0000.119
등급0.1191.000
2024-05-11T09:52:03.715592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
거래일평균가등락최저가최고가전7일대비(%)등급시장구분
거래일1.000-0.096-0.043-0.094-0.088-0.0430.0110.117
평균가-0.0961.0000.0600.9610.9900.0600.1050.068
등락-0.0430.0601.0000.0620.0511.0000.0220.060
최저가-0.0940.9610.0621.0000.9330.0620.1300.061
최고가-0.0880.9900.0510.9331.0000.0510.0930.083
전7일대비(%)-0.0430.0601.0000.0620.0511.0000.0220.060
등급0.0110.1050.0220.1300.0930.0221.0000.119
시장구분0.1170.0680.0600.0610.0830.0600.1191.000

Missing values

2024-05-11T09:51:48.752498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T09:51:49.412485image/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
5946020240308바나나 수입하22000<NA>-154313 kg상자2200022000<NA><NA>-1543양곡시장co
6719620240301냉동 가자미 수입하14700<NA>-13005 kg상자1470014700<NA><NA>-1300가락시장co
4140420240326쥬키니호박특23005<NA>-202010 kg상자2250024000<NA><NA>-2020가락시장co
2690920240411적근대상5063<NA>1672 kg상자43006000<NA><NA>167가락시장co
1223320240427양파하16187<NA>-131215 kg1130018000<NA><NA>-1312가락시장co
7343820240224적상추하11565<NA>04 kg상자1100012000<NA><NA>0양곡시장co
9702720240129영양부추상9420<NA>0100 g단90009700<NA><NA>0양곡시장co
1201820240427활 방어(자연)중10920<NA>01 kg900013000<NA><NA>0가락시장co
9569120240130복숭아 천홍(천)하13000<NA>010 kg상자1300013000<NA><NA>0양곡시장co
2836020240410빨강 파프리카보통25476<NA>-34935 kg상자2400027000<NA><NA>-3493가락시장co
거래일품목 및 품명등급평균가전일평균등락거래단위최저가최고가전일대비(%)전7일평균전7일대비(%)시장구분구분
3826420240329딸기하11824<NA>8562 kg상자500014000<NA><NA>856가락시장co
7757520240220토마토하27874<NA>010 kg상자1800031000<NA><NA>0가락시장co
942920240501딸기 금실보통4706<NA>-2131 kg상자30007000<NA><NA>-213가락시장co
5357120240314양송이보통14000<NA>02 kg상자1350014500<NA><NA>0양곡시장co
599420240504비타민하2760<NA>-48812 kg상자16004200<NA><NA>-4881가락시장co
1623220240423딸기 육보하11865<NA>-14612 kg상자900013500<NA><NA>-1461양곡시장co
4291920240323고구마 호풍미보통23452<NA>010 kg상자1800028000<NA><NA>0가락시장co
519420240506고구마하18145<NA>368710 kg상자300026000<NA><NA>3687가락시장co
2748920240410브로콜리하10900<NA>-120338 kg상자600023000<NA><NA>-12033양곡시장co
903120240501오이맛고추하31625<NA>489610 kg상자2000036000<NA><NA>4896가락시장co