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With the number of internet searches for “lottery statistic analyser” skyrocketing, you’re probably wondering what all the fuss is about. We’ve heard of data mining, business intelligence, and the like, but what is it? Is it just a fancy way to say “I want to analyze data”?

What kind of data?

Data is anything that can be represented with numbers. This can range from census data (population of each ZIP code, the size of each ZIP code, how many people live in each one, etc.) to knowing how many beers you sold last month, how much of the product did you sell, how much money you had in your pocket, etc. Data is also anything that comes in a spreadsheet, email, or database and can be analyzed by researchers, engineers, scientists, and so on.

In short, data is any information you can represent. Why would you want to represent it? As a business, you might want to represent how much money you can expect to make on your next sale. Or, as an academic, you might want to represent how many mushrooms are on a particular part of a tree in order to build a model that predicts if that tree will be successful as a mushroom farm. The only problem is the data can be skewed. Too many people will put three mushrooms on a tree and only one will be successful, so that leaves a skewed sample size. It is no longer good data. Now, with a good data analysis, you would have more credible data.

As an example, let’s say that you have a cracker jack lottery machine that has a cracker jack at the end. If you open up the cracker jack and there is no prize inside, you can safely assume that no one won. However, if you open up the cracker jack and find the prize you are hoping for, you can be fairly sure that some people won. In the case of data, you would be analyzing whether you will have that cracker jack or not. You might have a lot of data that shows you that thousands of people bought that cracker jack and the prize was indeed inside. But, you might have a huge amount of data that shows you that no one bought it and the prize was nowhere to be found.

The data analysis

So now the question becomes, “What does this all mean and how do I analyze it?”

In many instances, you need to go beyond telling if the cracker jack actually

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