ChatGPT Data Analysis Cheat Sheet: Simplify Spreadsheets with Powerful Insights and Visualizations

1. Basic Data Analysis Capabilities

The tool comes equipped with several features to help streamline your analysis process:

Data Manipulation

• Filter data by specific criteria (e.g., rows where the age is greater than 25).
• Sort the dataset by a selected column, such as salary.

Data Cleaning

Eliminate duplicate entries.

• Fill in missing values automatically, such as replacing blank fields in the “age” column with the mean value.

Generate Insights

• Quickly perform a basic analysis to uncover patterns and trends in your dataset.
• Summarize data insights in plain language.

Custom Formulas and Automation

• Apply custom formulas to calculate key metrics (e.g., total revenue by location).
• Automate repetitive tasks like monthly report generation using scripts.

Style and Formatting

• Highlight important values using conditional formatting (e.g., cells with values above 100).
• Modify font colors and other styles to enhance readability.

Working with Multiple Sheets

• Access and process data from multiple sheets within a workbook.
• Calculate aggregated metrics, such as the total sum of expenses across sheets.

Save and Export

• Save the cleaned and modified data into a new CSV file for seamless sharing and future use.

2. Advanced Data Analysis Features

For users looking to go beyond basic operations, ChatGPT offers advanced functionality:

Machine Learning and Predictive Modeling

• Train linear regression models using variables such as “age,” “experience,” and “salary.”
• Make predictions and uncover relationships between variables.

Database Integration

• Import data from an external SQL database and merge it with spreadsheet data.

Location Analysis

• Create pivot tables to group sales data by region and analyze patterns with pinpoint accuracy.

Time-Series Analysis

• Study stock prices or seasonal trends using time-series analysis techniques.

Text Analysis

• Extract customer reviews from a dataset and conduct sentiment analysis to determine positive or negative feedback.

Conditional Operations

• Apply logical conditions, such as adding a discount to specific product categories.

API Integration

• Fetch external data from APIs, like weather data, and combine it with your existing datasets for enhanced analysis.