Data Analysts!!!
This will Blow Your Mind π€―
β One ChatGPT Plugin
β One ChatGPT Prompt
β It did all My One Week Tasks in 2 Minutes.
Here is the Result and How I Achieved it. π
All FREE
This will Blow Your Mind π€―
β One ChatGPT Plugin
β One ChatGPT Prompt
β It did all My One Week Tasks in 2 Minutes.
Here is the Result and How I Achieved it. π
All FREE
For this I am going to use electric vehicle population data.
Here is the Link to data source:
Also I am going to copy the .csv file link.
And I will use this link in the ChatGPT Prompt.
(will show you later) data.wa.gov/api/views/f6w7β¦
Here is the Link to data source:
Also I am going to copy the .csv file link.
And I will use this link in the ChatGPT Prompt.
(will show you later) data.wa.gov/api/views/f6w7β¦
Next, I will use Noteable to show you how ChatGPT has done this.
Here is the link to this Project in my Noteable:
And I will also use this link in the ChatGPT Prompt. app.noteable.io/p/266171c8-805β¦
Here is the link to this Project in my Noteable:
And I will also use this link in the ChatGPT Prompt. app.noteable.io/p/266171c8-805β¦
Here is the Prompt I used.
Thanks to @dataliteracycom
for showing the complete process and prompt.
Check ALT copy the prompt. dataliteracy.com
![Here is the dataset csv file link: [link goes here] Here is the noteable project link: [link goes here] Do a data driven analysus of this electric vehicle data. My audience is a Tesla sales representative who is looking to convice people to purchase a Tesla over another make of electric vehicle. Please include in the notebook description about what you're doing. Please so some machine learning along with basic analysis to identify trend and anomalies. Also do some exploratory analysis (EDA) and give me some data-driven suggestions.](/images/1px.png)
Thanks to @dataliteracycom
for showing the complete process and prompt.
Check ALT copy the prompt. dataliteracy.com
![Here is the dataset csv file link: [link goes here] Here is the noteable project link: [link goes here] Do a data driven analysus of this electric vehicle data. My audience is a Tesla sales representative who is looking to convice people to purchase a Tesla over another make of electric vehicle. Please include in the notebook description about what you're doing. Please so some machine learning along with basic analysis to identify trend and anomalies. Also do some exploratory analysis (EDA) and give me some data-driven suggestions.](https://pbs.twimg.com/media/F67229EXwAA-Mlu.jpg)
From this one Prompt
Here are the tasks it has complete in few minutes
1. Check for missing values
2. Filling missing values
3. Data visualization of:
β Electric Vehicle Types
β Top 10 Makes
β Vehicle Types by Make
β Number of Electric Vehicles by Model Year
& more
Here are the tasks it has complete in few minutes
1. Check for missing values
2. Filling missing values
3. Data visualization of:
β Electric Vehicle Types
β Top 10 Makes
β Vehicle Types by Make
β Number of Electric Vehicles by Model Year
& more
I hope you find this helpful.
Also, I will drop a detailed guide of this plugin and the complete process with a video walkthrough in the next issue of my newsletter, AiSuite.
Join for free: aisuite.beehiiv.com/subscribe
Also, I will drop a detailed guide of this plugin and the complete process with a video walkthrough in the next issue of my newsletter, AiSuite.
Join for free: aisuite.beehiiv.com/subscribe
That's a wrap!
If you enjoyed this thread:
1. Follow me @sharyph_ for more interesting lessons like this.
2. RT the tweet below π to share this thread to help others.
If you enjoyed this thread:
1. Follow me @sharyph_ for more interesting lessons like this.
2. RT the tweet below π to share this thread to help others.
https://twitter.com/1302204267843915777/status/1706572657515245748
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