Seemed like a simple idea, but implementation is proving trickier than originally anticipated. 

Data storage is one area. How best to store the data for presentation? Maybe

Date, drawn number, previous drawn number, angle from last draw to current draw, length from last draw to current draw.

I guess it will be difficult to code the grid display from this data, time will tell. 

How far back to plot? Last 5? Last 10? Scrollable entire dataset?

In the analysis part, it might be best to keep it all together and then let unsupervised learning do what it was designed to do... find correlations. This part might be better to do with R than Python, but no harm in trying it with each.

The data will be somewhat less noisy as a +1 is the same vector for several number combos. I will be searching for probability, so I need to rank each of the 10 possible resultant vectors for each number in order to find out if this encoding is better than the one hot encoding of even/odd and high/low which yielded no good results.

Looks to be a long planning process to ensure the results are worth the time of statistical analysis. Oh well, saving on play money while researching!