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Letter Distribution

Letter Distribution
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2014-06-28 01:47
Probability & Statistics
This example demonstrates the distribution of letters in an English text and visualizes it with a histogram. Key math concepts include probability and statistics. It uses commands like TextToUnicode, CountIf, Sum, TiedRank, Textfield, Sequence, and Histogram in GeoGebra. Suitable for middle school students learning probability and statistics.

GeoGebra Commands & Parameters

  1. TextToUnicode(Tekst) → kodovi
  2. TextToUnicode(A1) → B1
  3. TextToUnicode(A2) → B2
  4. TextToUnicode(A3) → B3
  5. TextToUnicode(A4) → B4
  6. TextToUnicode(A5) → B5
  7. TextToUnicode(A6) → B6
  8. TextToUnicode(A8) → B8
  9. TextToUnicode(A9) → B9
  10. TextToUnicode(A10) → B10
  11. TextToUnicode(A11) → B11
  12. TextToUnicode(A16) → B16
  13. TextToUnicode(A22) → B22
  14. TextToUnicode(A7) → B7
  15. TextToUnicode(A12) → B12
  16. TextToUnicode(A13) → B13
  17. TextToUnicode(A14) → B14
  18. TextToUnicode(A15) → B15
  19. TextToUnicode(A17) → B17
  20. TextToUnicode(A18) → B18
  21. TextToUnicode(A19) → B19
  22. TextToUnicode(A20) → B20
  23. TextToUnicode(A21) → B21
  24. TextToUnicode(A23) → B23
  25. TextToUnicode(A24) → B24
  26. TextToUnicode(A25) → B25
  27. TextToUnicode(A26) → B26
  28. TextToUnicode(A27) → B27
  29. CountIf(x ≟ Element[B1, 1] ∨ x ≟ Element[B1, 2], kodovi) → C1
  30. CountIf(x ≟ Element[B2, 1] ∨ x ≟ Element[B2, 2], kodovi) → C2
  31. CountIf(x ≟ Element[B3, 1] ∨ x ≟ Element[B3, 2], kodovi) → C3
  32. CountIf(x ≟ Element[B4, 1] ∨ x ≟ Element[B4, 2], kodovi) → C4
  33. CountIf(x ≟ Element[B5, 1] ∨ x ≟ Element[B5, 2], kodovi) → C5
  34. CountIf(x ≟ Element[B6, 1] ∨ x ≟ Element[B6, 2], kodovi) → C6
  35. CountIf(x ≟ Element[B7, 1] ∨ x ≟ Element[B7, 2], kodovi) → C7
  36. CountIf(x ≟ Element[B8, 1] ∨ x ≟ Element[B8, 2], kodovi) → C8
  37. CountIf(x ≟ Element[B9, 1] ∨ x ≟ Element[B9, 2], kodovi) → C9
  38. CountIf(x ≟ Element[B10, 1] ∨ x ≟ Element[B10, 2], kodovi) → C10
  39. CountIf(x ≟ Element[B11, 1] ∨ x ≟ Element[B11, 2], kodovi) → C11
  40. CountIf(x ≟ Element[B12, 1] ∨ x ≟ Element[B12, 2], kodovi) → C12
  41. CountIf(x ≟ Element[B13, 1] ∨ x ≟ Element[B13, 2], kodovi) → C13
  42. CountIf(x ≟ Element[B14, 1] ∨ x ≟ Element[B14, 2], kodovi) → C14
  43. CountIf(x ≟ Element[B15, 1] ∨ x ≟ Element[B15, 2], kodovi) → C15
  44. CountIf(x ≟ Element[B16, 1] ∨ x ≟ Element[B16, 2], kodovi) → C16
  45. CountIf(x ≟ Element[B17, 1] ∨ x ≟ Element[B17, 2], kodovi) → C17
  46. CountIf(x ≟ Element[B18, 1] ∨ x ≟ Element[B18, 2], kodovi) → C18
  47. CountIf(x ≟ Element[B19, 1] ∨ x ≟ Element[B19, 2], kodovi) → C19
  48. CountIf(x ≟ Element[B20, 1] ∨ x ≟ Element[B20, 2], kodovi) → C20
  49. CountIf(x ≟ Element[B21, 1] ∨ x ≟ Element[B21, 2], kodovi) → C21
  50. CountIf(x ≟ Element[B22, 1] ∨ x ≟ Element[B22, 2], kodovi) → C22
  51. CountIf(x ≟ Element[B23, 1] ∨ x ≟ Element[B23, 2], kodovi) → C23
  52. CountIf(x ≟ Element[B24, 1] ∨ x ≟ Element[B24, 2], kodovi) → C24
  53. CountIf(x ≟ Element[B25, 1] ∨ x ≟ Element[B25, 2], kodovi) → C25
  54. CountIf(x ≟ Element[B26, 1] ∨ x ≟ Element[B26, 2], kodovi) → C26
  55. CountIf(x ≟ Element[B27, 1] ∨ x ≟ Element[B27, 2], kodovi) → C27
  56. Sum(C1:C27) → H28
  57. TiedRank(qw) → qw2
  58. Sum(G2:G27) → G29
  59. Textfield(Tekst) → txtPolje1
  60. Sequence(n, n, 0, 26) → intervali
  61. Histogram(intervali, D1:D26) → Histogram
  62. TableText({{F1, G1}, {F2, G2}, {F3, G3}, {F4, G4}, {F5, G5}, {F6, G6}, {F7, G7}, {F8, G8}, {F9, G9}, {F10, G10}, {F11, G11}, {F12, G12}, {F13, G13}, {F14, G14}, {F15, G15}, {F16, G16}, {F17, G17}, {F18, G18}, {F19, G19}, {F20, G20}, {F21, G21}, {F22, G22}, {F23, G23}, {F24, G24}, {F25, G25}, {F26, G26}, {F27, G27}, {F29, G29}}, "c") → tekst1

AI Drawing Prompt Reference

Create a histogram showing the frequency of each letter in an English text. First, convert the text to Unicode codes, then count the occurrences of each letter, and finally draw the histogram to display the frequency of each letter.
The prompt above was compiled from the original drawing commands and is for reference only.