Macro for Registering and Analyzing Subspreadsheets

[Frank]

So in Plain English you are tracking the frequency of the last 2 digits of a group of pick three last 2 digits, for example tracking group 57 or 58 or 59 or 60 and comparing that with the expected frequency ( once every 25 draws) of those four numbers as a group? Plus or minus x draws from expected and storing the list of results as animals instead of their actual group contents? If a result in your table is as shown in your list is 4633-09 which 2 digits are used 33 or 09? If you are using 33 why is -09 even there in the first place?

 

[jack]

Hello, FRANK. Thanks for reading the post, almost there, 4633 = 09 answering the question is 33 = the corresponding animal or group within the 25 is the snake 09 =
Group 09 has 33,34,35,36, if you look closely at the table each animal has the 4 numbers on the right side, just zoom in or enlarge the table, the operator already presents the animal corresponding to the last pair, but does not do the statistics, that's where FRANK comes in, in the results we have pick4, pick3 and pick2 = 4633 pick4 = 4633 pick3 = 633 and pick2 = 33
Our focus is pick2 = 33 of each lottery line

 

[jack]

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GRUPOS E BICHOS​

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AVESTRUZ​

ÁGUIA​

BURRO​

BORBOLETA​

CACHORRO​

CABRA​

CARNEIRO​

CAMELO​

COBRA​

COELHO​

CAVALO​

ELEFANTE​

GALO​

GATO​

JACARÉ​

LEÃO​

MACACO​

PORCO​

PAVÃO​

PERU​

TOURO​

TIGRE​

URSO​

VEADO​

VACA​

 

[jack]

list=
https://www.mediafire.com/file/88jnff0d94kgd1v/bichos+na+lista.docx/file

 

[jack]

hello FRANK=
Data Registration: Allows for manual or automatic registration of draw results.
Data Query: Allows for the query of historical data for any group or final pair.
Statistics Calculation: Perform complex calculations such as:
Frequency of each final pair for each group.
Sequences of numbers and final pairs.
Average and standard deviation of the time between draws for each pair.
Analysis of correlations between groups and pairs.
Identification of "hot" and "cold" pairs.
Data Visualization: Generate customized graphs and reports to facilitate data analysis.
Prediction: Use machine learning techniques to try to predict future results, based on historical data.
Tools and Technologies:

Database: PostgreSQL, MySQL or other relational database.
Programming Language: Python, R, or other language with robust libraries for data analysis.
Visualization tools: Matplotlib, Seaborn, Plotly, or business intelligence tools such as Power BI or Tableau.
Machine learning libraries: Scikit-learn, TensorFlow or PyTorch.
Examples of analyses:

Frequency analysis: Which final pair from the "Cat" group has been drawn the most in the last 100 draws?
Sequence analysis: What is the longest sequence of times that the "56" pair from the "Cat" group has been drawn consecutively?
Correlation analysis: Is there any correlation between the "Cat" group and the "Dog" group? In other words, when one is drawn, the other has a higher chance of being drawn too?
Prediction: Using a machine learning model, what is the probability of the "56" pair from the "Cat" group being drawn in the next draw?

 

[jack]

hello FRANK, do you have any questions?

 

[Frank]

Should I hear of anybody with both the time and inclination to program all that nonsense for a reasonable fee I will let you know. Like I told you earlier. I’m out.

 

[jack]

OK FRANK, THEN JUST MAKE THE REGISTRATIONS, you don't even need to do any statistics, just register

 

[jack]

hello= winalotto ou frank
ba Columns
Summary Date, Draw, Bet Number, Ten, Result, Additional Field
PTT Bet Number, Ten, Result, Additional Field
PTM Bet Number, Ten, Result, Additional Field
PT Bet Number, Ten, Result, Additional Field
PTV Bet Number, Ten, Result, Additional Field
PTN Bet Number, Ten, Result, Additional Field
OWL Bet Number, Ten, Result, Additional Field

Export to Spreadsheets
Macro Objective:

From this data, we can create a macro that:

Consolidates the data: Brings together the data from all tabs into a single "Summary" tab.

Formats the data: Applies conditional formatting or other formatting to make it easier to view.

Performs calculations: Calculates basic statistics such as the mean, median, and mode of the results.

Generates graphs: Creates graphs to visualize the distribution of the data.
Macro Code (Example):

VB.Net

Sub ConsolidateData()
Dim ws As Worksheet
Dim lastRow As Long
Dim targetRow As Long

' Set the target tab (Summary)
Set ws = ThisWorkbook.Sheets("Summary")
targetRow = 2

' Loop through all draw tabs
For Each ws In ThisWorkbook.Worksheets
If ws.Name <> "Summary" Then
lastRow = ws.Cells(Rows.Count, 1).End(xlUp).Row

' Copy the data to the Summary tab
ws.Range("A2" & lastRow).Copy Destination:=ws.Range("A" & targetRow)
ws.Range("A1").Copy Destination:=ws.Range("B" & targetRow) ' Copy the tab name
targetRow = targetRow + lastRow - 1
End If
Next ws

' Format the data (example: apply bold to the headers)
ws.Range("A11").Font.Bold = True

' Perform calculations (example: calculate the average of the result in column E)
ws.Range("E2:E" & ws.Cells(Rows.Count, 1).End(xlUp).Row).Formula = "=AVERAGE(D2" & lastRow & ")"

' Create a chart (example: bar chart of the Result column)
ws.Shapes.AddChart.SetSourceData Source:=Range("A1" & lastRow)
End Sub
Customizing the Macro:

Additional Fields: If you have other fields, adjust the columns in the data copy.
Calculations: Add more formulas to calculate other statistics or indicators.
Formatting: Explore Excel's formatting options to customize the look of your spreadsheet.
Charts: Create different types of charts to visualize your data in different ways.
Filters: Add filters to make data analysis easier.
Data Validation: Implement data validation to ensure data integrity.
Next Steps:

To create an even more customized macro, I need more information about:

What is the exact format of the data in each tab?
What type of analysis do you want to perform?
What type of chart would you like to generate?
Do you want any specific formatting?
Based on this information, I can refine the macro and make it more useful for your needs.

Notes:

Date: If you have the date of each draw, add a "Date" column to each tab to make it easier to filter and analyze time.
Additional Field: It is important to understand the meaning of the "7-xxx" field in order to analyze it correctly. You can create an additional column to extract the number after the hyphen, for example.
Flexibility: The macro should be flexible to allow you to add new data in the future.

 

[jack]

The table below presents a common version:

Ostrich - 00 to 03
Eagle - 04 to 07
Donkey - 08 to 11
Butterfly - 12 to 15
Dog - 16 to 19
Goat - 20 to 23
Sheep - 24 to 27
Camel - 28 to 31
Snake - 32 to 35
Rabbit - 36 to 39
Horse - 40 to 43
Elephant - 44 to 47
Rooster - 48 to 51
Cat - 52 to 55
Alligator - 56 to 59
Lion - 60 to 63
Monkey - 64 to 67
Pig - 68 to 71
Peacock - 72 to 75
Turkey - 76 to 79
Taurus - 80 to 83
Tiger - 84 to 87
Bear - 88 to 91
Deer - 92 to 95
Cow - 96 to 99
How it works:

Each animal represents a group of 4 numbers: For example, the ostrich represents the numbers 00, 01, 02 and 03.
Bets: Players choose an animal and place their bets. If the number drawn is within the group of the chosen animal, the player wins.