Exploratory Data Analysis - Tag - Zhiversehttps://yao-chih.netlify.app/en/tags/exploratory-data-analysis/Exploratory Data Analysis - Tag - ZhiverseHugo -- gohugo.ioenyaochihh@gmail.com (Josh)yaochihh@gmail.com (Josh)ZhiverseDataset Exploration and Analysis #2https://yao-chih.netlify.app/en/dataset-exploration-and-analysis-ep.2/Mon, 28 Apr 2025 19:51:50 +0800Authorhttps://yao-chih.netlify.app/en/dataset-exploration-and-analysis-ep.2/<div class="featured-image"> <img src="https://raw.githubusercontent.com/Josh-test-lab/website-assets-repository/main/posts/Dataset%20Exploration%20and%20Analysis%20EP.2/cover%20image.png" referrerpolicy="no-referrer"> </div>Dataset Exploration and Analysishttps://yao-chih.netlify.app/en/dataset-exploration-and-analysis/Tue, 18 Mar 2025 12:58:27 +0800Authorhttps://yao-chih.netlify.app/en/dataset-exploration-and-analysis/

The cover image is generated by ChatGPT, depicting data analysis. The prompt used is “A modern data analysis concept illustration featuring a futuristic workspace. The image includes multiple data charts, graphs, and dashboards displayed on transparent holographic screens. A diverse team of analysts and data scientists collaborate, analyzing trends and insights on large monitors. The scene has a sleek, high-tech atmosphere with glowing blue and purple hues, reflecting a professional and cutting-edge environment.” 。

Introduction

The dataset used in this analysis is the Swiss bank notes dataset, which is utilized by banks to distinguish between genuine and counterfeit old Swiss Francs. This study downloads the bank2.dat dataset from https://github.com/QuantLet/MVA/tree/master/QID-1530-MVAscabank56 and conducts the analysis using the R programming language.

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