Shulou(Shulou.com)05/31 Report--

This article mainly shows you "how to analyze data". The content is easy to understand and clear. I hope it can help you solve your doubts. Next, let the editor lead you to study and learn the article "how to analyze data".

1. Data preprocessing

It mainly includes repeated value processing, default value processing, sampling processing, training set and test set processing.

two。 Application model

According to the requirements, select the corresponding mathematical model for analysis. It mainly includes four types of model applications: classification algorithm, clustering algorithm, association analysis and regression analysis.

3. Observe the result of treatment

The corresponding processing results will be produced after applying the corresponding mathematical model, such as correlation coefficient in regression analysis and promotion degree in correlation analysis.

4. Graphic visualization

In the R language, the plot function is generally used to draw graphics, and of course, there are ggplot packages to make more beautiful graphics.

5. Prediction and analysis

In R language, predict function is generally used for data prediction and analysis.

The above is all the contents of the article "how to analyze data". Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.