20 Effective Prompts for Daily Data Science Tasks
Let’s dive right into the prompts.
Data Cleaning and Preprocessing:
“Act as a data analyst and identify missing values, outliers, and duplicate entries in the dataset [dataset name]. Suggest strategies for handling these issues to prepare the data for analysis.”
Exploratory Data Analysis (EDA):
“Act as a data scientist exploring a new dataset. Summarize the dataset [dataset name], including its size, structure, and the distribution of key variables. Highlight any interesting correlations or patterns observed.”
Feature Engineering:
“Act as a machine learning engineer and create new features for the dataset [dataset name] that could improve the performance of a predictive model. Describe the rationale behind each new feature.”
Data Visualization:
“Act as a data visualization expert and design visualizations that effectively communicate the findings of the exploratory data analysis of [dataset name], including histograms, scatter plots, and heatmaps.”
Statistical Analysis:
“Act as a statistician analyzing the dataset [dataset name]. Perform hypothesis…
