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July 10, 2023

Best 30 Prompts for ChatGPT Advanced Data Analysis (ex. Code Interpreter)

Check out the latest advancements in AI-powered tools for data visualization! Explore how ChatGPT can assist developers, analysts, and managers with understanding and visualizing their data. Dive into the top prompts designed to enhance your data science experience and make finding insights a breeze.

Best 30 Prompts for Code Interpreter in 2023
Credit: Metaverse Post (mpost.io)
Read more: Best 10 ChatGPT Jailbreaks in 2023

Pros and Cons of Using ChatGPT Advanced Data Analysis 

Pros
For exploratory data analysis and visualization, Code Interpreter is insane. Your own personal data analyst and scientist.
Ask using natural language rather than memorizing or looking up Seaborn or Matplotlib commands.
Ask GPT to explain a graph if you want to learn more about it or if you don’t understand how it works. Real-time explanations are useful for someone like who has no trading experience.
With a few simple prompts, you can make GIFs, videos, business plans, Charts, websites, and anything else.
Cons
It quickly loses its allure because it is unable to recognize patterns without additional information. It might be helpful for predicting behavior if it accurately identified sentiment, product revenue, and overlaid it with averages.

Prompt #1

Prompt: Graph common moving averages
Prompt: Graph common moving averages

Prompt #2

Prompt: Graph the log price
Prompt: Graph the log price

Prompt #3

Prompt: Graph the log distribution of prices
Prompt: Graph the log distribution of prices

Prompt #4

Prompt: Graph volumes of shares traded
Prompt: Graph volumes of shares traded

Prompt #5

Prompt: Create 5 beautiful and useful visualizations based on the data that is relevant to financial analysts and traders.
Prompt: Create 5 beautiful and useful visualizations based on the data that is relevant to financial analysts and traders.

Prompt #6

Prompt: Here is the TESLA Inc Last 5 Years Stock Historical dataset, take a look and tell me what you find.
Prompt: Here is the TESLA Inc Last 5 Years Stock Historical dataset, take a look and tell me what you find.

Prompt #7

Prompt: Kaggle dataset on tesla stock over the past 5 years
Prompt: Kaggle dataset on tesla stock over the past 5 years

Prompt #8

Prompt: Can you please explain this file in simpler terms

Prompt #9

Prompt: Asked for data Insights and recommendations

Prompt #10

Prompt: Create a Heat map using this data.

Prompt #11

Prompt: Create a visual chart, based on this data and explain the chart with pointers

Prompt #12

Prompt: Can you create 10 visuals to represent different data? Include explanations in the last.

Prompt #13

Prompt: Can you please do a Segmentation and Analysis for HighValue, Medium Value and Low Value customers & highlight some interesting Key points using the data?

Prompt #14

Prompt: Can you show me the top trends in a visual format using the data?

Prompt #15

Prompt: Can you tell me some interesting insights about the highest revenue grossing channel & share 5 tips to improve the lowest grossing channel

Prompt #16

Prompt: Can you create a presentation based on this dataset?

Prompt #17

Prompt: Use Columns 3 & 5 & share the cost revenue ratio for each row

Prompt #18

Prompt: Identify the primary colors and objects in this image.

Prompt #19

Prompt: Adjust the brightness and contrast in this image.

Prompt #20

Prompt: Resize this image to 1000px, maintain aspect ratio.

Prompt #21

Prompt: Provide metadata for this image.

Prompt #22

Prompt: Provide metadata for this image.

Prompt #23

Prompt: Compare this image with another one.

Prompt #24

Prompt: Convert this image's color scheme to grayscale.

Prompt #25

Prompt: Separate the image into its individual elements, or objects.

Prompt #26

Prompt: Analyze the texture of this image.

Prompt #27

Prompt: Crop this image to 50/50.

Prompt #28

Prompt: Enhance the resolution of this image.

Prompt #29

Prompt: Overlay this text over the image: (text)

Prompt #30

Prompt: Apply this watermark to this image.

That’s a wrap!

In conclusion, the Code Interpreter plugin offers significant time-saving benefits for individuals working in Sales and Marketing. Tasks that were once considered tedious and time-consuming, such as creating PowerPoint presentations, conducting detailed client analysis, and monitoring key metrics, can now be completed in a matter of minutes with the help of this powerful tool.

Previously, professionals relied on various software applications like Excel, Docs, Word, and PowerPoint to accomplish these tasks. While data downloading was often a separate and time-consuming process, it has now become effortless with the use of software and SAAS platforms, allowing users to export the necessary data with a single click.

The introduction of the Code Interpreter further enhances efficiency by providing a seamless integration of coding capabilities within ChatGPT. By utilizing the plugin, Sales and Marketing professionals can leverage the power of automation to perform their tasks more quickly and effectively. Whether it’s generating presentations, conducting in-depth client reviews, or analyzing key metrics, the Code Interpreter streamlines these processes, saving valuable time and increasing productivity.

FAQs

The Code Interpreter enables users to write and run Python code as prompts directly within ChatGPT, facilitating data analysis, chart generation, and complex mathematical calculations.

The latest advancements include OpenAI’s Code Interpreter in ChatGPT, which allows users to analyze and visualize data using natural language queries.

ChatGPT’s Code Interpreter can provide real-time explanations of graphs and assist users in exploring and understanding their data without the need for memorizing or looking up specific commands.

By eliminating the need for extensive programming knowledge, the Code Interpreter removes barriers and allows users to automate quantitative research, consolidate data, and gain valuable insights.

ChatGPT’s Code Interpreter requires additional information to recognize patterns effectively, such as sentiment analysis, product revenue data, and averages overlaid on graphs.

The Code Interpreter allows users to upload files of up to 100MB in size for data analysis and visualization.

Users are actively engaging with the Code Interpreter, exploring its capabilities in various domains. One notable example is a professor at the University of Pennsylvania who used ChatGPT to discuss the shape of the Earth.

The Code Interpreter empowers users to perform data analysis tasks and addresses concerns about ChatGPT’s limitations, offering new avenues for exploration and productivity.

The Code Interpreter simplifies data analysis, making it accessible to individuals without extensive programming knowledge, thereby reducing limitations and democratizing data science.

The Code Interpreter is available to ChatGPT+ subscribers, who can utilize the tool for data analysis and visualization by upgrading their subscription.

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Disclaimer

In line with the Trust Project guidelines, please note that the information provided on this page is not intended to be and should not be interpreted as legal, tax, investment, financial, or any other form of advice. It is important to only invest what you can afford to lose and to seek independent financial advice if you have any doubts. For further information, we suggest referring to the terms and conditions as well as the help and support pages provided by the issuer or advertiser. MetaversePost is committed to accurate, unbiased reporting, but market conditions are subject to change without notice.

About The Author

Damir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet. 

More articles
Damir Yalalov
Damir Yalalov

Damir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet. 

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