Data Analysis: Automating Distribution Comparisons from Daily Stats

In summary, the conversation discusses finding an application or method for analyzing daily statistical updates and creating distributions for different variables. The goal is to compare individual statistics to the overall distribution and visually represent the results. The use of common statistics tools or importing data with a macro may be helpful in achieving this.
  • #1
bloynoys
25
0
Hey guys, I have a question of how to go about answering a question. I am trying to decide what coding/database language to learn next (most likely SQL with some access thrown in), but have an overall question.

I am looking for an application or way to crunch daily statistical updates, then calculate distributions from that, then go back and compare numbers to distribution. So ideally, there are 1000 people, they do things on a daily basis in many different variables, these get tabulated and updated daily, I would like a program or write one that takes these creates a distribution for each column variable from data and then goes back and compares each individual statistic to overall distribution and color coats it (or another defining way of showing that) depending on where they are in the distribution. Like white is people in the top 5% of that variable, yellow shows the next 15% etc etc. Is there a way to do this easier than epically long formulas in excel and more automated to read in daily stat updates?

Thanks!
 
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  • #2
All common statistics tools should be able to do that.
If you have data as list (name,value), marking the top 5%/20%/... is easy with excel as well, and you don't need those tools. You could probably import data with a macro.
 

What is data analysis?

Data analysis is the process of collecting, organizing, and interpreting data to uncover patterns, trends, and insights. It involves using various methods and techniques to turn raw data into meaningful information that can be used for decision making.

Why is data analysis important?

Data analysis is important because it helps us make sense of large amounts of data and extract valuable insights. It allows us to identify patterns and trends that can inform decision making, improve processes, and drive business growth. Without data analysis, we would be limited in our ability to understand and utilize the vast amounts of data available to us.

What is the goal of automating distribution comparisons from daily stats?

The goal of automating distribution comparisons from daily stats is to streamline and simplify the process of analyzing data and comparing distributions. By automating this task, we can save time and effort, reduce the risk of human error, and gain faster and more accurate insights from our data.

What are some common methods used for automating distribution comparisons from daily stats?

Some common methods used for automating distribution comparisons from daily stats include statistical software programs, programming languages like Python and R, and data analysis tools that offer automation features. These methods often involve writing scripts or using pre-built templates to automate the process of collecting, organizing, and analyzing data.

What are some potential challenges or limitations of automating distribution comparisons from daily stats?

One potential challenge of automating distribution comparisons from daily stats is ensuring the accuracy and reliability of the automated process. This may require regular maintenance and updates to the automation methods to account for changes in data or algorithms. Additionally, automating data analysis may also require a certain level of technical skills and resources, which could be a limitation for some individuals or organizations.

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