since your journal wants you to produce clean figures, you’ll need a reliable way to run the Python script and export the visuals as high-resolution images (PNG or PDF). Here are a few practical options you can use right away:
🔹 1. Google Colab (Free, Web-Based)
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Just open Google Colab with your Google account.
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Create a new notebook, paste in the code I provided, and run it.
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Figures will render directly in the browser, and you can save them as PNG.
✅ Best choice for quick, no-installation plotting.
🔹 2. Jupyter Notebook (Local)
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Install Anaconda or Jupyter via pip.
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Run the notebook locally (
jupyter notebookin terminal). -
Great if you want offline control and the ability to tweak figure formatting.
🔹 3. Kaggle Notebooks (Free, Online)
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Log in to Kaggle, go to “Code,” create a new notebook.
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Paste the script, run, and download figures.
✅ Good if you’re already using Kaggle datasets or working in research teams.
🔹 4. Deepnote / Noteable (Collaboration-Oriented)
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Both are browser-based notebooks like Google Colab.
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Useful if you need to co-edit with collaborators.
⚠️ Important: When exporting figures for journal submission, make sure to:
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Save as .PNG at 300 dpi or .PDF (vector, best for print).
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Keep consistent font size (10–12 pt) and labels.
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Use APA-style captions (I can draft them for you next).
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