Shulou(Shulou.com)06/02 Report--

This article mainly explains "what are the AutoEDA tools commonly used in Python data mining". Interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn what are the AutoEDA tools commonly used in Python data mining.

1 、 Pandas Profiling

Pandas Profiling is a relatively mature tool, which can be directly input into DataFrame to complete the analysis process, and display the results in HTML format. At the same time, the analysis function is relatively powerful.

Functions: field type analysis, variable distribution analysis, correlation analysis, missing value analysis, duplicate row analysis

Time consuming: less

2 、 AutoViz

Https://github.com/AutoViML/AutoViz

AutoViz is a beautiful data analysis tool that saves the results in image format while visualizing.

Functions: correlation analysis, numerical variable box diagram, numerical variable distribution map

Time-consuming: more

3 、 Dataprep

Https://dataprep.ai/

Dataprep is a more flexible and powerful tool, and it is also my favorite. It can specify columns for analysis, as well as interactive analysis in Notebook.

Functions: field type analysis, variable distribution analysis, correlation analysis, missing value analysis, interactive analysis.

Time-consuming: more

4 、 SweetViz

Https://github.com/fbdesignpro/sweetviz

SweetViz is a powerful data analysis tool that can well analyze training sets and test sets, as well as the relationship between target tags and features.

Functions: data set comparative analysis, field type analysis, variable distribution analysis, target variable analysis

Time consuming: medium

5 、 D-Tale

Https://github.com/man-group/dtale

D-Tale is the most powerful data analysis tool, which supports the analysis process of single variable better.

Functions: field type analysis, variable distribution analysis, correlation analysis, missing value analysis, interactive analysis.

Time consuming: medium

At this point, I believe you have a deeper understanding of "what are the AutoEDA tools commonly used in Python data mining?" you might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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.