Hi folks. I’m in the middle of a science fair project, and I have 3000 random numbers of data. I need to analyze this data for trends, common numbers, common combinations, favored numbers, and etc to prove that this is not a random set of numbers

For example, my data would look like
“1538973549105789587129857120985978473875291857918 …..” with 3000 numbers
My goal is to see favored numbers (7 might appear 20% of the time, 0 might appear 4% of the time), combinations (777 might appear more often than it should in a random set of numbers, or 666 may never appear at all), trends (I’ve seen trends such as 345-245-645-745-045-145), and etc. to prove that this data is not random. The problem is there’s so many combinations of numbers to check for, and if I check only certain combinations such as 777 or 13579, it will be biased.

Is there any some sort of data analysis program that can do this for me or help me in any way, or is there any way to program one to do this, or must I use the find function in Microsoft word and look for all trends and combination manually?

I’ll get into the specifics if you need more info, thanks in advance

This is something like what genetics do so check out what is going on R

> http://cran.r-project.org/src/contrib/Views/Genetics.html

I think this is what you need. It was designed to measure the randomness of a pattern of generated numbers and has been cited in a couple of papers on the topic.

http://www.lancs.ac.uk/staff/towse/rgcpage.html