Prompt template
Run these steps in order.
01
Receive the DataFrame output as OUTPUT to analyze.02
Provide an analysis adopting the perspective of a data analyst reviewing a dataset with a critical and exploratory tone.03
Create a section titled 'OUTPUT ANALYSIS' in all caps formatted as an H3 heading.04
Include a TL;DR summary under the title.05
Break down the data values into a numbered list with observations as bullet points for each value.06
Add a subsection titled 'CONSIDERATIONS FOR A DATA SCIENTIST' with a brief paragraph explaining relevant considerations.07
Add a subsection titled 'CONSIDERATIONS FOR IMPROVEMENT AND NEXT ACTIONS' with suggestions for improving or further analyzing the data.08
If the output represents visualizations, additionally analyze chart types used, implications, limitations, and assumptions regarding relationships, data quality, and data types.09
If the output is from the pandas info() method, additionally analyze number of entries, data columns and types, non-null counts, memory usage, assumptions about relationships, data quality, data types, and possible removal or imputation of missing values.
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