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CanariaView
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GlobalCopperDemandForecastingDataset

Tasks:
Time Series Forecasting
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English
Korean
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mining
LSTM
TimeSeries
CanariaView
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Date
stringlengths
10
10
HSI_value
int64
478
2.27k
CCI_value
float64
96.3
102
IPI_value
float64
71.2
104
GDPC_value
float64
10.6k
20.2k
Copper price
float64
0.63
4.69
1995-01-31
1,407
100.8336
71.2762
10,550.251
1.380976
1995-02-28
1,316
100.9472
71.1904
10,550.251
1.322179
1995-03-31
1,249
101.021
71.2891
10,550.251
1.351283
1995-04-30
1,267
100.9875
71.1623
10,581.723
1.328911
1995-05-31
1,314
100.9859
71.5044
10,581.723
1.260091
1995-06-30
1,281
100.9617
71.743
10,581.723
1.369627
1995-07-31
1,461
100.9719
71.4459
10,671.738
1.359868
1995-08-31
1,416
101.0936
72.38
10,671.738
1.376861
1995-09-30
1,369
101.1969
72.6601
10,671.738
1.307575
1995-10-31
1,369
101.2572
72.5428
10,744.203
1.256841
1995-11-30
1,452
101.1646
72.7178
10,744.203
1.318285
1995-12-31
1,431
100.9102
72.9672
10,744.203
1.27821
1996-01-31
1,467
100.6777
72.5866
10,824.674
1.143095
1996-02-29
1,491
100.4917
73.6389
10,824.674
1.15419
1996-03-31
1,424
100.3477
73.5202
10,824.674
1.171238
1996-04-30
1,516
100.3704
74.2664
11,005.217
1.183295
1996-05-31
1,504
100.5229
74.8145
11,005.217
1.190636
1996-06-30
1,467
100.6714
75.3779
11,005.217
0.981845
1996-07-31
1,472
100.8228
75.3754
11,103.935
0.899881
1996-08-31
1,557
100.9765
75.7568
11,103.935
0.91715
1996-09-30
1,475
101.1459
76.2304
11,103.935
0.894625
1996-10-31
1,392
101.2921
76.2193
11,219.238
0.913652
1996-11-30
1,489
101.2847
76.8941
11,219.238
0.999537
1996-12-31
1,370
101.2754
77.3731
11,219.238
1.015805
1997-01-31
1,355
101.4024
77.5138
11,291.665
1.0515
1997-02-28
1,486
101.5249
78.4246
11,291.665
1.092811
1997-03-31
1,457
101.6019
78.9266
11,291.665
1.1095
1997-04-30
1,492
101.6712
78.9924
11,479.33
1.085532
1997-05-31
1,442
101.6565
79.4411
11,479.33
1.148333
1997-06-30
1,494
101.6741
79.8048
11,479.33
1.174671
1997-07-31
1,437
101.7441
80.48
11,622.911
1.074136
1997-08-31
1,390
101.8306
81.2862
11,622.911
1.022276
1997-09-30
1,546
101.9305
82.038
11,622.911
0.963881
1997-10-31
1,520
101.9443
82.7657
11,722.722
0.939565
1997-11-30
1,510
101.9222
83.4321
11,722.722
0.877061
1997-12-31
1,566
101.9212
83.7826
11,722.722
0.798277
1998-01-31
1,525
101.9397
84.1656
11,839.876
0.778025
1998-02-28
1,584
101.9621
84.3048
11,839.876
0.759042
1998-03-31
1,567
102.0419
84.3416
11,839.876
0.805227
1998-04-30
1,540
102.0472
84.6263
11,949.492
0.818595
1998-05-31
1,536
102.1023
85.1839
11,949.492
0.786625
1998-06-30
1,641
102.0757
84.6809
11,949.492
0.751695
1998-07-31
1,698
101.9731
84.3448
12,099.191
0.759045
1998-08-31
1,614
101.6902
86.0846
12,099.191
0.733852
1998-09-30
1,582
101.3165
85.9945
12,099.191
0.755905
1998-10-31
1,715
101.0578
86.5967
12,294.737
0.725841
1998-11-30
1,660
101.0307
86.5114
12,294.737
0.717984
1998-12-31
1,792
101.0302
86.8608
12,294.737
0.667609
1999-01-31
1,748
100.9611
87.2277
12,410.778
0.656447
1999-02-28
1,670
100.8827
87.7266
12,410.778
0.642411
1999-03-31
1,710
100.8603
87.9203
12,410.778
0.631826
1999-04-30
1,553
100.957
88.1153
12,514.408
0.673876
1999-05-31
1,611
101.0829
88.6554
12,514.408
0.69745
1999-06-30
1,559
101.2305
88.5958
12,514.408
0.654891
1999-07-31
1,669
101.4069
89.1235
12,679.977
0.765405
1999-08-31
1,648
101.6601
89.5116
12,679.977
0.7621
1999-09-30
1,635
101.9451
89.1361
12,679.977
0.819857
1999-10-31
1,608
102.1751
90.2842
12,888.281
0.798952
1999-11-30
1,648
102.2111
90.7631
12,888.281
0.79393
1999-12-31
1,708
102.239
91.4926
12,888.281
0.819219
2000-01-31
1,636
102.2709
91.4251
12,935.252
0.855289
2000-02-29
1,737
102.2619
91.7357
12,935.252
0.827855
2000-03-31
1,604
102.266
92.0933
12,935.252
0.80513
2000-04-30
1,626
102.2433
92.6838
13,170.749
0.776305
2000-05-31
1,575
102.185
92.9376
13,170.749
0.831318
2000-06-30
1,559
102.1371
93.0076
13,170.749
0.811045
2000-07-31
1,463
102.0556
92.8458
13,183.89
0.844947
2000-08-31
1,541
102.0425
92.5972
13,183.89
0.868552
2000-09-30
1,507
102.0805
92.9653
13,183.89
0.922725
2000-10-31
1,549
102.1472
92.6418
13,262.25
0.878818
2000-11-30
1,551
102.0758
92.6618
13,262.25
0.833695
2000-12-31
1,532
101.8647
92.3459
13,262.25
0.869475
2001-01-31
1,600
101.5315
91.8903
13,219.251
0.833429
2001-02-28
1,625
101.1796
91.2915
13,219.251
0.820347
2001-03-31
1,590
100.898
91.0526
13,219.251
0.806886
2001-04-30
1,649
100.7078
90.7293
13,301.394
0.76647
2001-05-31
1,605
100.5838
90.2577
13,301.394
0.776341
2001-06-30
1,636
100.399
89.7677
13,301.394
0.729119
2001-07-31
1,670
100.3087
89.226
13,248.142
0.701071
2001-08-31
1,567
100.2557
89.1326
13,248.142
0.676574
2001-09-30
1,562
100.2489
88.6679
13,248.142
0.659824
2001-10-31
1,540
100.2709
88.3926
13,284.881
0.636696
2001-11-30
1,602
100.4883
87.8774
13,284.881
0.66309
2001-12-31
1,568
100.8672
87.8344
13,284.881
0.681305
2002-01-31
1,698
101.2167
88.4665
13,394.91
0.702
2002-02-28
1,829
101.2437
88.4661
13,394.91
0.724553
2002-03-31
1,642
101.0707
89.1228
13,394.91
0.74995
2002-04-30
1,592
100.7464
89.5532
13,477.356
0.733391
2002-05-31
1,764
100.4184
89.934
13,477.356
0.73675
2002-06-30
1,717
100.0938
90.6769
13,477.356
0.764655
2002-07-31
1,655
99.8227
90.6455
13,531.741
0.72819
2002-08-31
1,633
99.6031
90.5475
13,531.741
0.68065
2002-09-30
1,804
99.46434
90.6381
13,531.741
0.68485
2002-10-31
1,648
99.44079
90.4041
13,549.421
0.686413
2002-11-30
1,753
99.40691
90.8985
13,549.421
0.727489
2002-12-31
1,788
99.21656
90.389
13,549.421
0.726186
2003-01-31
1,853
98.86694
91.1355
13,619.434
0.757619
2003-02-28
1,629
98.63111
91.2502
13,619.434
0.771526
2003-03-31
1,726
98.56903
91.0059
13,619.434
0.760667
2003-04-30
1,643
98.63313
90.4281
13,741.107
0.723348
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CanariaView Global Copper Demand Forecasting Dataset

Description

This dataset encompasses economic and industrial indicators vital for constructing a copper demand forecasting model.

Coverage Period: Monthly data from January 1995 to March 2023, encompassing a total of 339 months.

Column Descriptions and Sources:

  • HSI_value (US Housing Starts Index): Y-Chart
  • CCI_value (Consumer Confidence Index): OECD
  • IPI_value (Industrial Production Total Index): FRED
  • GDPC_value (Real Gross Domestic Product): FRED
  • Copper price: MacroTrends

Preprocessing Methodology and Data Collection Details:

  • Comprehensive analysis of data structure followed by essential preprocessing.
  • Appropriate handling of missing values.
  • Daily and quarterly data uniformly expanded to a monthly timescale for consistency.
  • Daily data (e.g., Copper price) and quarterly data (e.g., GDPC_value)
  • Dependent variable data used in the model was available from 1995, guiding the collection of independent variables-this dataset- from that year.

ํ•œ๊ตญ์–ด ์„ค๋ช…

๋ณธ ๋ฐ์ดํ„ฐ์…‹์€ ๊ตฌ๋ฆฌ ์ˆ˜์š” ์˜ˆ์ธก ๋ชจ๋ธ ๊ตฌ์ถ•์„ ์œ„ํ•œ ๊ฒฝ์ œ์ง€ํ‘œ ๋ฐ ์‚ฐ์—…์ง€ํ‘œ๋กœ ๊ตฌ์„ฑ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

๊ธฐ๊ฐ„: 1995๋…„ 1์›”~2023๋…„ 3์›”(์›”๋ณ„), ์ด 339๊ฐœ์›”.

์ปฌ๋Ÿผ ์„ค๋ช… ๋ฐ ์ถœ์ฒ˜

  • HSI_value (๋ฏธ๊ตญ ์ฃผํƒ์ฐฉ๊ณต์ง€์ˆ˜): Y-Chart
  • CCI_value (๋ฏธ๊ตญ ์†Œ๋น„์ž์‹ ๋ขฐ์ง€์ˆ˜): OECD
  • IPI_value (๋ฏธ๊ตญ ์‚ฐ์—…์ƒ์‚ฐ์ž์ง€์ˆ˜): FRED
  • GDPC_value (๋ฏธ๊ตญ ์‹ค์งˆ GDP): FRED
  • Copper price (๊ตฌ๋ฆฌ ๊ฐ€๊ฒฉ): MacroTrends

๋ฐ์ดํ„ฐ ์ „์ฒ˜๋ฆฌ ๋ฐ ์ˆ˜์ง‘ ๋ฐฉ๋ฒ•:

  • ๋ฐ์ดํ„ฐ ๊ตฌ์กฐ ๋ถ„์„ ๋ฐ ์ „์ฒ˜๋ฆฌ ๊ณผ์ • ์ˆ˜ํ–‰.
  • ๊ฒฐ์ธก์น˜ ์ฒ˜๋ฆฌ.
  • ์ผ๋ณ„ ๋ฐ ๋ถ„๊ธฐ๋ณ„ ์ž๋ฃŒ๋Š” ์›”๋ณ„ ๋ฐ์ดํ„ฐ๋กœ์˜ ํ™•์žฅ์„ ํ†ตํ•ด ์ผ๊ด€๋œ ์‹œ๊ณ„์—ด ๋ฐ์ดํ„ฐ๋กœ ํ†ตํ•ฉ.
  • ์ผ๋ณ„ ์ž๋ฃŒ (๊ตฌ๋ฆฌ ๊ฐ€๊ฒฉ), ๋ถ„๊ธฐ๋ณ„ ์ž๋ฃŒ (GDPC_value)
  • ์ˆ˜์š” ๋ชจ๋ธ์— ์‚ฌ์šฉ๋œ ์ข…์†๋ณ€์ˆ˜ ๋ฐ์ดํ„ฐ๊ฐ€ 1995๋…„๋ถ€ํ„ฐ ํ™•๋ณด๋˜์–ด ๋…๋ฆฝ๋ณ€์ˆ˜์ธ ๋ณธ ๋ฐ์ดํ„ฐ์…‹๋„ 1995๋…„๋„๋ถ€ํ„ฐ ์ˆ˜์ง‘ํ•จ.
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