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    <title>My Projects on Hugo Apéro</title>
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    <description>Recent content in My Projects on Hugo Apéro</description>
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      <title>🌍 Visualizing Climate Change in the Media</title>
      <link>/project/storyline_viz/</link>
      <pubDate>Tue, 16 Sep 2025 00:00:00 +0000</pubDate>
      
      <guid>/project/storyline_viz/</guid>
      <description>A data-driven story about what we study, what we miss, and what comes next Climate change is one of the most urgent issues of our time. But the way we see it—the photos, graphics, and videos that circulate in the media—shapes how we understand the problem, how we feel about it, and what actions we take.
This project explores how climate change is visualized in the media and research, highlighting emerging trends, blind spots, and future directions.</description>
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    <item>
      <title>📦 emissionTrackeR</title>
      <link>/project/emissiontracker/</link>
      <pubDate>Sun, 30 Mar 2025 00:00:00 +0000</pubDate>
      
      <guid>/project/emissiontracker/</guid>
      <description>📦 emissionTrackerR emissionTrackerR is an R package that helps track, log, and visualize carbon emissions generated by your R code, ML experiments, and projects. It supports automatic logging, metadata collection, real-world emission equivalents, and a built-in Shiny dashboard. It is inspired by and conceptually based on the Python package CodeCarbon developed by ML CO2 Impact, and aims to bring similar functionality to the R ecosystem.
🚀 Installation # Install from GitHub devtools::install_github(&amp;#34;your-username/emissionTrackerR&amp;#34;) 🔧 Basic Usage library(emissionTrackerR) # Track emissions for a code block track_emissions_for(&amp;#34;example_sleep&amp;#34;, { Sys.</description>
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    <item>
      <title>📑 TextAnalizeR</title>
      <link>/project/textanalizer/</link>
      <pubDate>Mon, 21 Aug 2023 00:00:00 +0000</pubDate>
      
      <guid>/project/textanalizer/</guid>
      <description>📑 TextAnalizeR The Text Analyzer Shiny App is an interactive tool for analyzing and visualizing text data. It allows users to perform various text analysis tasks, including sentiment analysis, word frequency analysis, and topic modelling. This README provides an overview of the app&amp;rsquo;s features, how to use it, and how to get started.
This app focuses on making life easier for researchers looking to explore insights in their text analysis.</description>
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