a.b.main.spambase.analysis: MAIN - Spambase Analysis

In Vitlik/DA1-16: Analysis of a spambase dataset

Description

To get (back) to the overview of all steps and functions use this link: a.a.main

Meta function for starting meta steps of the analysis.

This function wraps all the meta steps for analyzing the data.

1. Load environment (z.z.util.set.environment)

2. Explore basic structure of the data (b.a.exploratory.data_analysis)

3. Check for normality in the data and try to transform to it (c.a.normality)

4. Search for possible outliers (d.a.outlier_detection)

5. Try to reduce dimensionality with principal component analysis (e.a.pca)

6. Cluster data to detect similarites in spam mail and in non-spam mails (f.a.clustering)

Each step will be further explained in the corresponding function descriptions

Usage

a.b.main.spambase.analysis()

Author(s)

Vitali Friesen

Vitlik/DA1-16 documentation built on May 9, 2019, 10:01 p.m.