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docs/R语言编程入门.html

@@ -237,7 +237,7 @@
 <!-- margin-sidebar -->
     <div id="quarto-margin-sidebar" class="sidebar margin-sidebar">
         <nav id="TOC" role="doc-toc" class="toc-active">
-    <h2 id="toc-title">Table of contents</h2>
+    <h2 id="toc-title">目录</h2>
 
   <ul>
   <li><a href="#基本数据类型" id="toc-基本数据类型" class="nav-link active" data-scroll-target="#基本数据类型"><span class="header-section-number">2.1</span> 基本数据类型</a>

docs/index.html

@@ -7,7 +7,7 @@
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 
 <meta name="author" content="黄天元">
-<meta name="dcterms.date" content="2024-06-16">
+<meta name="dcterms.date" content="2024-07-31">
 
 <title>大数据分析——基于R语言</title>
 <style>
@@ -238,7 +238,7 @@
 <!-- margin-sidebar -->
     <div id="quarto-margin-sidebar" class="sidebar margin-sidebar">
         <nav id="TOC" role="doc-toc" class="toc-active">
-    <h2 id="toc-title">Table of contents</h2>
+    <h2 id="toc-title">目录</h2>
 
   <ul>
   <li><a href="#前言" id="toc-前言" class="nav-link active" data-scroll-target="#前言">前言</a></li>
@@ -267,7 +267,7 @@ <h1 class="title">大数据分析——基于R语言</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">June 16, 2024</p>
+      <p class="date">July 31, 2024</p>
     </div>
   </div>
 
@@ -281,10 +281,10 @@ <h1 class="title">大数据分析——基于R语言</h1>
 
 <section id="前言" class="level1 unnumbered">
 <h1 class="unnumbered">前言</h1>
-<p>本书主要介绍如何使用R语言来进行高性能计算，从而应对大数据时代给我们带来的各种挑战。这本书面向的是已经具有一定R语言基础的读者，在面对海量观测构成的数据集时，如何从容地像往常一样对数据进行丰富的分析与建模。为了对R基础较为薄弱的读者也友好，本书不会使用过分深刻晦涩的材料，力求深入浅出。书会结合当前最先进的R语言工具包（包括但不限于<strong>data.table、duckdb、arrow、sparklyr、Rcpp、future</strong>），系统地介绍以下几个部分的内容：</p>
+<p>本教程主要介绍如何使用R语言来进行高性能计算，从而应对大数据时代给我们带来的各种挑战。这本书面向的是已经具有一定R语言基础的读者，在面对海量观测构成的数据集时，如何从容地像往常一样对数据进行丰富的分析与建模。为了对R基础较为薄弱的读者也友好，本书不会使用过分深刻晦涩的材料，力求深入浅出。书会结合当前最先进的R语言工具包（包括但不限于<strong>data.table、duckdb、arrow、sparklyr、Rcpp、future</strong>），系统地介绍以下几个部分的内容：</p>
 <ul>
 <li>大数据基本概念</li>
-<li>R语言基本介绍</li>
+<li>R语言编程入门</li>
 <li>数据处理效能的衡量</li>
 <li>快速读写：大数据的导入与导出</li>
 <li>快速整理：基于data.table的数据处理工具</li>
@@ -303,8 +303,14 @@ <h1 class="unnumbered">前言</h1>
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