Data Exploration and Visualization
A prompt for conducting exploratory data analysis and creating visualizations.
11 month ago
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CONTEXT
This prompt guides the user through the process of performing exploratory data analysis (EDA) on a given dataset.
OBJECTIVE
The objective is to uncover insights, relationships, and patterns within the data using statistical techniques and visual representations.
FORMAT
Users will follow structured steps for data cleaning, processing, visualization, and interpretation. They should include code snippets and visual outputs in their explorations.
EXAMPLES
1. Load a dataset, check for null values, and visualize distributions using histograms. 2. Create scatter plots to investigate relationships between variables. 3. Use box plots to identify outliers in the data.
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