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b. Plotting with Pandas and Matplotlib
c. Subplots, twin axes, and annotations
d. Colomaps and figure aesthetics
- e. Exporitn gplots for reports (DPI, figure size)
+ e. Exporitng plots for reports (DPI, figure size)
f. Creating dashboards or summary figures
g. Problem 1: Using pandas to plot spectroscopy data from raw data. Add labels, units, title, and annotations for peaks
h. Problem 2: Create a multi-panel figure showing raw data, fitted curve, and residuals. Format with consistent style, legend and color scheme for publication-ready quality. \ No newline at end of file