https://blog.nand.fun/series/r%E8%AF%AD%E8%A8%80%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/Recent content in R语言数据分析 on Nand FunHugo -- gohugo.iozh-cnhza2002@foxmail.com (按点下班)hza2002@foxmail.com (按点下班)© 2021 - 2026 <span class='inline-block'><a href='https://blog.nand.fun' target='_blank'>All Rights Reserved.</a></span> <span class='inline-block'><a href='https://icp.gov.moe/?keyword=20246233' target='_blank'>萌ICP备20246233号</a></span>Wed, 22 Jun 2022 01:23:48 +0800https://blog.nand.fun/posts/breast-cancer-prediction/Wed, 22 Jun 2022 01:23:48 +0800hza2002@foxmail.com (按点下班)https://blog.nand.fun/posts/breast-cancer-prediction/<blockquote><p>数据来源：<a href="https://www.kaggle.com/datasets/merishnasuwal/breast-cancer-prediction-dataset" target="_blank" rel="noreferrer">乳腺癌预测数据集</a></p> </blockquote> <h2 class="relative group">简介 <div id="简介" class="anchor"></div> <span class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"> <a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%e7%ae%80%e4%bb%8b" aria-label="锚点">#</a> </span> </h2> <p>全球范围内，乳腺癌是女性最常见的癌症类型，在死亡率方面排名第二。当发现异常肿块（来自自我检查或X光）或看到钙质小点（在X光片上）时，就会进行乳腺癌的诊断。在发现可疑肿块后，医生将进行诊断以确定是否为癌症，如果是，是否已扩散到身体的其他部位。</p>https://blog.nand.fun/posts/jail-deaths-in-america/Tue, 21 Jun 2022 01:23:48 +0800hza2002@foxmail.com (按点下班)https://blog.nand.fun/posts/jail-deaths-in-america/<blockquote><p>数据来源：<a href="https://www.reuters.com/investigates/special-report/usa-jails-graphic/" target="_blank" rel="noreferrer">美国监狱死亡事件：_Dying Inside_的数据和关键发现</a></p> <p>包含美国750名及以上囚犯的大型监狱数据。为确保涵盖全国死亡人数，它还包括了每个州前10大监狱的数据</p>https://blog.nand.fun/posts/top-50-twitter-accounts/Mon, 20 Jun 2022 01:23:48 +0800hza2002@foxmail.com (按点下班)https://blog.nand.fun/posts/top-50-twitter-accounts/<blockquote><p>Data source: <a href="https://www.kaggle.com/datasets/hassanshehzadk/top-50-most-followed-twitter-accounts?resource=download" target="_blank" rel="noreferrer">Top 50 Most Followed Twitter Accounts</a></p> </blockquote> <h2 class="relative group">简介 <div id="简介" class="anchor"></div> <span class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"> <a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%e7%ae%80%e4%bb%8b" aria-label="锚点">#</a> </span> </h2> <p>数据列出了<strong>Twitter</strong>上最受关注的50个账户，每个总数四舍五入到最近的十万，以及每个用户的职业或活动。账户总数和排名月度变化最后更新于<strong>2022年5月12日</strong>。</p>https://blog.nand.fun/posts/carbon-dioxide-emission-estimates/Sun, 19 Jun 2022 01:23:48 +0800hza2002@foxmail.com (按点下班)https://blog.nand.fun/posts/carbon-dioxide-emission-estimates/<blockquote><p>数据来源：<a href="http://data.un.org/_Docs/SYB/CSV/SYB64_310_202110_Carbon%20Dioxide%20Emission%20Estimates.csv" target="_blank" rel="noreferrer">Carbon Dioxide Emission Estimates</a></p> </blockquote> <h2 class="relative group">简介 <div id="简介" class="anchor"></div> <span class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"> <a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%e7%ae%80%e4%bb%8b" aria-label="锚点">#</a> </span> </h2> <p>数据来源于<a href="http://data.un.org/default.aspx" target="_blank" rel="noreferrer">undata</a>。最后更新于2021年11月1日。它包含了几年来世界各国总碳排放量和人均碳排放量。由于国家数量众多，在本数据分析中，我们仅选择了九个国家，即中国、美国、法国、德国、加拿大、意大利、日本、英国和奥地利。</p>