Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory498.0 KiB
Average record size in memory51.0 B

Variable types

Numeric3
Categorical2

Alerts

물가 has 589 (5.9%) zerosZeros

Reproduction

Analysis started2024-01-09 22:54:58.868924
Analysis finished2024-01-09 22:55:00.692561
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.6402
Minimum2012
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:55:00.765348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12014
median2017
Q32019
95-th percentile2022
Maximum2022
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.9366999
Coefficient of variation (CV)0.0014562339
Kurtosis-1.0548787
Mean2016.6402
Median Absolute Deviation (MAD)2
Skewness0.14250169
Sum20166402
Variance8.6242064
MonotonicityNot monotonic
2024-01-10T07:55:00.878796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2013 1139
11.4%
2017 1112
11.1%
2015 1047
10.5%
2016 1015
10.2%
2018 1012
10.1%
2014 987
9.9%
2019 957
9.6%
2012 740
7.4%
2020 740
7.4%
2021 673
6.7%
ValueCountFrequency (%)
2012 740
7.4%
2013 1139
11.4%
2014 987
9.9%
2015 1047
10.5%
2016 1015
10.2%
2017 1112
11.1%
2018 1012
10.1%
2019 957
9.6%
2020 740
7.4%
2021 673
6.7%
ValueCountFrequency (%)
2022 578
5.8%
2021 673
6.7%
2020 740
7.4%
2019 957
9.6%
2018 1012
10.1%
2017 1112
11.1%
2016 1015
10.2%
2015 1047
10.5%
2014 987
9.9%
2013 1139
11.4%

월
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5206
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:55:00.989538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.3961639
Coefficient of variation (CV)0.5208361
Kurtosis-1.1808611
Mean6.5206
Median Absolute Deviation (MAD)3
Skewness-0.0057044922
Sum65206
Variance11.533929
MonotonicityNot monotonic
2024-01-10T07:55:01.100753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 913
9.1%
7 909
9.1%
9 854
8.5%
10 852
8.5%
8 838
8.4%
3 836
8.4%
6 835
8.3%
2 834
8.3%
12 803
8.0%
11 788
7.9%
Other values (2) 1538
15.4%
ValueCountFrequency (%)
1 758
7.6%
2 834
8.3%
3 836
8.4%
4 780
7.8%
5 913
9.1%
6 835
8.3%
7 909
9.1%
8 838
8.4%
9 854
8.5%
10 852
8.5%
ValueCountFrequency (%)
12 803
8.0%
11 788
7.9%
10 852
8.5%
9 854
8.5%
8 838
8.4%
7 909
9.1%
6 835
8.3%
5 913
9.1%
4 780
7.8%
3 836
8.4%

물품
Categorical

Distinct44
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
참외
 
257
사과(부사)
 
254
콩나물
 
253
갈치
 
249
명태(동태)
 
246
Other values (39)
8741 

Length

Max length7
Median length6
Mean length2.9973
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row굴
2nd row닭고기
3rd row바나나
4th row양파
5th row수박

Common Values

ValueCountFrequency (%)
참외 257
 
2.6%
사과(부사) 254
 
2.5%
콩나물 253
 
2.5%
갈치 249
 
2.5%
명태(동태) 246
 
2.5%
양배추 244
 
2.4%
달걀 240
 
2.4%
포도 239
 
2.4%
오이 238
 
2.4%
파 237
 
2.4%
Other values (34) 7543
75.4%

Length

2024-01-10T07:55:01.241177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
참외 257
 
2.6%
사과(부사 254
 
2.5%
콩나물 253
 
2.5%
갈치 249
 
2.5%
명태(동태 246
 
2.5%
양배추 244
 
2.4%
달걀 240
 
2.4%
포도 239
 
2.4%
오이 238
 
2.4%
양파 237
 
2.4%
Other values (34) 7543
75.4%

지역명
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
홍성군
818 
계룡시
778 
예산군
769 
서천군
757 
천안시
755 
Other values (11)
6123 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서산시
2nd row부여군
3rd row서산시
4th row서산시
5th row당진시

Common Values

ValueCountFrequency (%)
홍성군 818
 
8.2%
계룡시 778
 
7.8%
예산군 769
 
7.7%
서천군 757
 
7.6%
천안시 755
 
7.5%
서산시 750
 
7.5%
공주시 734
 
7.3%
태안군 671
 
6.7%
당진시 636
 
6.4%
부여군 617
 
6.2%
Other values (6) 2715
27.2%

Length

2024-01-10T07:55:01.379312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
홍성군 818
 
8.2%
계룡시 778
 
7.8%
예산군 769
 
7.7%
서천군 757
 
7.6%
천안시 755
 
7.5%
서산시 750
 
7.5%
공주시 734
 
7.3%
태안군 671
 
6.7%
당진시 636
 
6.4%
부여군 617
 
6.2%
Other values (6) 2715
27.2%

물가
Real number (ℝ)

ZEROS 

Distinct551
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10011.797
Minimum0
Maximum160000
Zeros589
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:55:01.530371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11700
median4900
Q311000
95-th percentile40000
Maximum160000
Range160000
Interquartile range (IQR)9300

Descriptive statistics

Standard deviation14226.215
Coefficient of variation (CV)1.4209452
Kurtosis11.542441
Mean10011.797
Median Absolute Deviation (MAD)3700
Skewness2.8096266
Sum1.0011797 × 108
Variance2.0238519 × 108
MonotonicityNot monotonic
2024-01-10T07:55:01.718352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 589
 
5.9%
5000 351
 
3.5%
6000 336
 
3.4%
3000 308
 
3.1%
2000 230
 
2.3%
2500 220
 
2.2%
10000 211
 
2.1%
1500 177
 
1.8%
7000 172
 
1.7%
8000 163
 
1.6%
Other values (541) 7243
72.4%
ValueCountFrequency (%)
0 589
5.9%
100 22
 
0.2%
110 1
 
< 0.1%
120 4
 
< 0.1%
130 10
 
0.1%
140 1
 
< 0.1%
150 30
 
0.3%
160 12
 
0.1%
170 10
 
0.1%
180 21
 
0.2%
ValueCountFrequency (%)
160000 1
 
< 0.1%
150000 2
< 0.1%
120000 4
< 0.1%
117000 2
< 0.1%
116700 1
 
< 0.1%
110000 2
< 0.1%
109500 2
< 0.1%
107300 3
< 0.1%
106700 1
 
< 0.1%
105000 1
 
< 0.1%

Interactions

2024-01-10T07:54:59.871369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:54:59.289636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:54:59.549445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:54:59.978928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:54:59.373399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:54:59.635196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:55:00.080974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:54:59.460003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:54:59.768855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:55:01.842283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도월물품지역명물가
연도1.0000.1390.0000.2800.106
월0.1391.0000.0000.0720.028
물품0.0000.0001.0000.0000.766
지역명0.2800.0720.0001.0000.106
물가0.1060.0280.7660.1061.000
2024-01-10T07:55:01.943574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역명물품
지역명1.0000.000
물품0.0001.000
2024-01-10T07:55:02.020157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도월물가물품지역명
연도1.000-0.1280.0700.0000.109
월-0.1281.000-0.0230.0000.028
물가0.070-0.0231.0000.3980.044
물품0.0000.0000.3981.0000.000
지역명0.1090.0280.0440.0001.000

Missing values

2024-01-10T07:55:00.531236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:55:00.630021image/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

연도월물품지역명물가
3516620165굴서산시130
191920127닭고기부여군6300
6118520203바나나서산시2500
6097920206양파서산시2900
6851220225수박당진시19300
6251720202참외아산시0
4796820187멸치액젓금산군2800
2748420153콩나물태안군450
28420201611한우쇠고기계룡시42500
5720020192오렌지서천군0
연도월물품지역명물가
6973720221명태(동태)공주시5000
24346201510꽁치부여군5000
59740202012꽁치천안시6300
61080202010당근홍성군2700
1309520138수입쇠고기계룡시0
25280201512파태안군2700
2405020152마늘보령시5300
1213220133시판우유보령시750
42081201710양배추아산시980
63641202110수박부여군20300