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Time Series Construction Problems

Time Series Construction Problems
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2013-08-30 01:11
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This example demonstrates how to create time series plots using provided data samples and analyze potential solutions. Core math concepts include statistics, histograms, median value, rhombus, centroid, and quadratic equations. GeoGebra commands like Mod, Element, Sequence, Min, Max, Segment, If are used along with objects such as DataSet and Dt series. Suitable for high school students and math enthusiasts learning data analysis and visualization.

GeoGebra Commands & Parameters

  1. Mod(seed, 3) → Strt
  2. Element(DtXSq, DataSet) → DtX1
  3. Element(DtYSq, DataSet) → DtY1
  4. Sequence(Element[DtY1, Strt + k], k, 1, size) → DtY2
  5. Min(DtY2) → YMn
  6. Max(DtY2) → YMx
  7. Sequence(Element[DtX1, Strt + k], k, 1, size) → DtX2
  8. Segment(Org, GLR) → HAx
  9. Segment(Org, GUL) → VAx
  10. If(5 * LBSY ≤ UBSY, 5 * LBSY, If[2 * LBSY ≤ UBSY, 2 * LBSY, LBSY]) → YScl2
  11. Sequence(((k - 1) * XScl + GL, AdpY(Element[DtY2, k])), k, 1, size) → DtPts
  12. Sequence(Segment[Element[DtPts, k - 1], Element[DtPts, k]], k, 2, size) → GrSgs
  13. Segment(TUL, TUR) → TbTp
  14. Segment(TLL, TLR) → TbBt
  15. Segment(TML, TMR) → TbMd
  16. Segment(TLL, TUL) → BL
  17. Sequence(Text[k, (-3.6, AdpY(k) - 0.35)], k, YAxMn, YAxMx, YScl2) → YLbs
  18. Segment((GL - 1.414, GB - 1.414), Org) → LLSg
  19. Sequence(Segment[(DL + k * CW, TB), (DL + k * CW, TT)], k, 0, size) → DvLns
  20. Sequence(Segment[(GL - 0.5, AdpY(k)), (GL + 0.5, AdpY(k))], k, YAxMn, YAxMx, YScl2) → YTcs
  21. Sequence(Text[Element[DtX2, k], ((k - 1) * XScl + GL - 1, GB - 2.5)], k, 1, size) → XLbs
  22. Sequence(Segment[(GL + k * XScl, GB - 0.4), (GL + k * XScl, GB + 0.4)], k, 0, size - 1) → XTcs
  23. Element(TtlSq, DataSet) → Ttl
  24. Element(DDSq, DataSet) → DD0
  25. Element(VTtlSq, DataSet) → VALbl
  26. Element(VTtlSq, DataSet) → VATtl
  27. Element(TATtlSq, DataSet) → TATtl
  28. Element(TATtlSq, DataSet) → TmLbl
  29. Sequence(Text[Element[DtX2, k], (DL - 5.3 + CW * k, TB + 3.5)], k, 1, size) → Rw1
  30. Sequence(Text[Element[DtY2, k], (DL - 5.3 + k * CW, TB + 0.5)], k, 1, size) → Rw2

AI Drawing Prompt Reference

Create a time series plot to visualize provided data samples and statistical analysis. Plot data points and connect them to form a time series curve. Calculate and display the minimum and maximum values to define the axis range. Label the axes with appropriate scales and add text annotations. Additionally, draw a rhombus and calculate its centroid to show the central tendency of the data.
The prompt above was compiled from the original drawing commands and is for reference only.