Use ChatGPT for CSV File Data Analysis with Verified Solution

Recent technological advancements have led to the creation of AI (artificial intelligence)-based chatbots for personal and professional usage. One such chatbot is ChatGPT, the most commonly used AI chatbot. Many users use ChatGPT for data analysis, especially the data saved in CSV format.

A CSV (comma-separated value) file is a text file that separates data using commas for better understanding. This file format is simple to use and can be opened and edited with any text editor or spreadsheet software. This blog explores the usage of ChatGPT for CSV file data analysis, an area where users can enjoy its abilities and exercise a careful approach during the analysis.

Why Analyze a CSV File in ChatGPT?

Gone are the days when people used to sit and work endlessly to analyse the CSV file data to understand various metrics, some of them being consumer insights, data visualization, email data research, and the like. We will explore some reasons for CSV file analysis with ChatGPT in this section:

• Data Interpretation: ChatGPT can analyse the CSV file data quickly and describe the patterns, anomalies, and suggest corrections in simple language. It helps CSV file users save time and energy and automate complex and exhausting data analysis tasks.
• Ease of Data Accessibility: Another reason to use ChatGPT for CSV file data analysis relates to data accessibility. Non-technical CSV file users can use ChatGPT to gain data insights from the CSV file without requiring specialized programming skills due to the simple functioning of the ChatGPT site and app.
• Efficiency in Data Analysis: The third reason to analyze a CSV file in ChatGPT is efficiency. ChatGPT works incredibly fast when it comes to large-scale data analysis, eliminating manual errors and saving time. Moreover, it can even create simplified summaries and key pointers for easy data understanding.
• Data Segmentation: Continuing the previous point, ChatGPT helps you divide your CSV file data based on numerous criteria like email subject, date, time, purchase history, demographics, and so on. Again, it leads to efficient data analysis and time management.
• Error Reduction: Another reason to explore CSV with ChatGPT is error reduction. Automated CSV file data analysis helps in human error reduction during manual data examination.

Now that we have read the reasons for using ChatGPT for examining CSV data files, let’s explore the method for CSV data analysis with ChatGPT.

Read More: Convert Excel Contacts to CSV File Format

How to Use ChatGPT for CSV File Data Analysis?

Now that we have understood the reasons to analyze the CSV file in ChatGPT, let’s explore the methodology for the data evaluation in this section. Here, we will consider email data saved in a CSV file for analysis in ChatGPT.

Email clients like Microsoft Outlook provide the option to save email data in CSV format with metadata like subject, sender, time, receiver, and date besides the email content. Moreover, Mozilla Thunderbird helps with email data conversion to CSV using the ImportExportToolsNG add-in. You can also use any third-party file converter software to convert your email data to the CSV format.

In short, ChatGPT supports CSV files downloaded through any app. Now, the method for CSV data assessment in ChatGPT involves the Data Analyst GPT. Made by the ChatGPT team, this bot helps you analyze complex CSV file data in simple terms.

Once your email data gets downloaded, follow these steps for using ChatGPT for CSV file data analysis:

• • Open the ChatGPT website on your computer’s web browser.
    
  • Click on the Explore GPTs option in the sidebar.
    
  • Select the Data Analyst GPT under the By ChatGPT menu.
    
  • Then, click the Start Chat button to explore CSV with ChatGPT.
    
  • Upload the CSV file using the “Upload from Computer” option from the paperclip icon.
    
    
  • Enter a prompt to analyse the file based on the metadata.
    
    
  • Use the same GPT to clean unwanted CSV file data and rearrange the entire mailbox data in a structured way.

We will now show you the usage of this GPT by sharing some prompts for email data analysis. Here, we have uploaded a CSV email data file exported using the Outlook app (previous image).

• Prompt 1: Determine the sender with the longest email threads.
  
• Prompt 2: Identify the top 10 most frequent recipients.
  

The following points mention other examples you can use to analyze the CSV file email data:

• Prompt 3: Tell the average number of emails sent by the frequent recipients.
• Prompt 4: Analyze the CSV file data for common keywords in the email body.
• Prompt 5: Deduce the most frequent attachment file type.
• Prompt 6: Find the busiest day in relation to the highest email traffic.
• Prompt 7: Categorize the emails based on subject body (i.e., informational, meeting, product)
• Prompt 8: Find the most common words used in the emails (body and subject).
• Prompt 9: Determine the email response times and mention the most busiest date.

Moreover, ChatGPT also supports data analysis for other file formats like JSON, XLSX, PDF, HTML, TXT, JPEG, CSV, DOCX, and PPTX.

Points to Remember While Using Data Analyst GPT

You can use ChatGPT for data analysis with this method, but remember certain points while using the Data Analyst GPT:

• This feature is available only for certain users in the GPT-4o and Plus plans. While GPT-4o is free for usage, it has certain usage limits for data analysis.
• You can use limited commands if you are using a free ChatGPT account.
• The Data Analyst GPT may struggle to identify certain columns due to the unstructured CSV data.
• For unrestricted data analysis, you may have to buy the premium version, which is expensive ($20 per month).

Even though these pointers sound discouraging, you can analyse CSV file in ChatGPT without worrying too much. But, that doesn’t mean you should ignore the potential dangers associated with examining your data in ChatGPT. The following section mentions the challenges associated with ChatGPT and data analysis.

Challenges Related to CSV Data Analysis in ChatGPT

Even though CSV data analysis has now become easier through the Data Analyst GPT, certain challenges persist when you explore CSV with ChatGPT:

• Large Dataset Handling: ChatGPT may face problems in examining large CSV email datasets, leading to more problems for email users.
• Lack of Data Preciseness: ChatGPT may display inaccurate or even illogical CSV file data results, which many people refer to as “AI hallucinations.”
• Data Privacy: Since you are sharing your email or other personal data in CSV format for automated analysis, data privacy concerns take centre stage. You must ensure that you are not sharing too much personal information with ChatGPT, which can read and analyse the shared data for further content refinement. Moreover, you must follow data protection laws while sharing any sensitive information with ChatGPT.

These challenges show that while ChatGPT is the perfect ally for CSV data analysis, one can’t overly depend on it for implementing new changes based on its suggestions.

Conclusion

ChatGPT is an essential part of our personal and professional lives, thanks to the arrival of AI-based chatbots. This blog post explored the reasons and the method for using ChatGPT for CSV file data analysis. We also discussed the challenges of analyzing CSV file in ChatGPT. You can analyse your CSV file email data in ChatGPT comfortably but don’t forget to utilize your energy during the data examination.