MathPlotAI Logo MathPlotAI

Creating a Histogram with a Table

Creating a Histogram with a Table
Loading the math board and drawing, please wait…
2014-05-31 01:59
Coordinate GeometryProbability & StatisticsGraphing
In collections UCSS Secondary Math I Unit 4 Lesson 1
This example demonstrates how to create a histogram using tabular data. It involves core math concepts like histograms, normal distribution, linear regression, sequences and series, interest calculation, and quadrilaterals. The construction utilizes GeoGebra commands such as Textfield, Polygon, Segment, Sequence, Vector, Sort, Element, and If. It is suitable for high school mathematics education or introductory data analysis learning.

GeoGebra Commands & Parameters

  1. Textfield(d1) → inputD1
  2. Polygon((0, 11), (If[showSteps > t0, t1, t2], 11), (If[showSteps > t0, t1, t2], 12), (0, 12)) → tableHeader, b, c, d, e
  3. Segment((0, 10), (If[showSteps > t0, t1, t2], 10)) → f
  4. Segment((0, 9), (If[showSteps > t0, t1, t2], 9)) → g
  5. Segment((0, 8), (If[showSteps > t0, t1, t2], 8)) → h
  6. Segment((0, 7), (If[showSteps > t0, t1, t2], 7)) → i
  7. Segment((0, 6), (If[showSteps > t0, t1, t2], 6)) → j
  8. Segment((0, 5), (If[showSteps > t0, t1, t2], 5)) → k
  9. Segment((0, 4), (If[showSteps > t0, t1, t2], 4)) → l
  10. Segment((0, 3), (If[showSteps > t0, t1, t2], 3)) → m
  11. Segment((t1, 0), (t1, 12)) → s
  12. Textfield(d2) → inputD2
  13. Textfield(d3) → inputD3
  14. Textfield(d4) → inputD4
  15. Textfield(d5) → inputD5
  16. Textfield(d6) → inputD6
  17. Textfield(d7) → inputD7
  18. Textfield(d8) → inputD8
  19. Segment((0, 2), (If[showSteps > t0, t1, t2], 2)) → a
  20. Textfield(d9) → inputD9
  21. Segment((3.2, 2), (3.2, 12)) → q
  22. Segment((0, 2), (0, 11)) → n
  23. Segment((If[showSteps > t0, t1, t2], 2), (If[showSteps > t0, t1, t2], 11)) → p
  24. Sequence(Segment[(i, -0.3), (i, 0)], i, 7, 18) → xAxisHashMarks
  25. Vector((10, 0), (18.8, 0)) → xAxisR
  26. Vector((10, 0), (6.2, 0)) → xAxisL
  27. Vector((7, 2), (7, -0.8)) → yAxisB
  28. Sort({d1, d2, d3, d4, d5, d6, d7, d8, d9}) → ordered
  29. Element(ordered, 9) → gr
  30. If(gr < 12, 1, If[gr < 24, 2, If[gr < 30, 3, If[gr < 60, 4, 5]]]) → ySet
  31. Sequence(Segment[(i, 0), (i, 12)], i, 8, 1000) → gridV
  32. Sequence(Segment[(7, i), (1000, i)], i, 1, 12) → gridH
  33. Vector((7, 2), (7, 12.8)) → yAxisT
  34. Sequence(Segment[(6.7, i), (7, i)], i, 1, 12) → yAxisHashMarks
  35. If(ySet ≟ 1, 1, If[ySet ≟ 2, 2, If[ySet ≟ 3, 2.5, If[ySet ≟ 4, 5, 10]]]) → scaleFactor
  36. Polygon((8, 0), (9, 0), (9, d1 / scaleFactor), (8, d1 / scaleFactor)) → hist89, t, a_1, b_1, c_1
  37. Polygon((9, 0), (10, 0), (10, d2 / scaleFactor), (9, d2 / scaleFactor)) → hist910, d_1, e_1, f_1, g_1
  38. Polygon((10, 0), (11, 0), (11, d3 / scaleFactor), (10, d3 / scaleFactor)) → hist1011, h_1, i_1, j_1, k_1
  39. Polygon((11, 0), (12, 0), (12, d4 / scaleFactor), (11, d4 / scaleFactor)) → hist1112, l_1, m_1, n_1, p_1
  40. Polygon((12, 0), (13, 0), (13, d5 / scaleFactor), (12, d5 / scaleFactor)) → hist121, q_1, r_1, s_1, t_1
  41. Polygon((13, 0), (14, 0), (14, d6 / scaleFactor), (13, d6 / scaleFactor)) → hist12, a_2, b_2, c_2, d_2
  42. Polygon((14, 0), (15, 0), (15, d7 / scaleFactor), (14, d7 / scaleFactor)) → hist23, e_2, f_2, g_2, h_2
  43. Polygon((15, 0), (16, 0), (16, d8 / scaleFactor), (15, d8 / scaleFactor)) → hist34, i_2, j_2, k_2, l_2
  44. Polygon((16, 0), (17, 0), (17, d9 / scaleFactor), (16, d9 / scaleFactor)) → hist45, m_2, n_2, p_2, q_2

AI Drawing Prompt Reference

Create a histogram with a table for input data. The histogram consists of multiple bars, each bar's height representing the input data, aligned on the horizontal axis with gaps between bars. Include axis with tick marks and a grid background to show data distribution.
The prompt above was compiled from the original drawing commands and is for reference only.