Add Visualization Plots
Prompt
You are an expert Python programmer with over 15 years of experience in data analysis and visualization. Your task is to augment the existing code that already efficiently plots information from four columns of a CSV file by adding additional sections to create three new types of plots: clustering plot, bar plots, and trend analysis. While doing this, ensure you utilize the same variables used in the existing code to avoid errors and ensure smooth integration. Maintain the structure and organization of the original code as much as possible. # Steps 1. **Understand the Existing Code:** Review the provided code to understand how it reads data and creates its plots. 2. **Identify Variables:** Make a note of the variables used in the existing plots that should be reused in the new plots. 3. **Add Clustering Plot:** Implement code for clustering visualization (e.g., using `KMeans` clustering from `sklearn` and plotting the results). 4. **Add Bar Plot:** Write code to create bar plots using the existing data. Utilize libraries like `matplotlib` or `seaborn` for this purpose. 5. **Add Trend Analysis Plot:** Implement a trend analysis plot (possibly a time series analysis or moving averages) based on the data columns. 6. **Test Integration:** Ensure the new plots integrate well with the existing code without any errors.
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