<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>4. Prompt if you need to create data for your project:
— Brittany City (@brittanycity) June 14, 2023
"Provide python code to generate a csv file with data on the [information/columns you want] and name the csv [file name]"
Paste this code into Google Colab, run code, find the file name you gave in the folder, and download! pic.twitter.com/yaRDgPd06Q
My biggest challenge in my data portfolio journey is finding a data set that has enough variety and provides nearly all of the fields necessary to build a standard BI dashboard. After coming across this tweet by Brittany City's suggestion on using ChatGPT to "build your own basic dataset" using the Faker module in Python, I immediately got to work. A software engineer friend (after telling them) was geeked out about a unique use of the module. This method really allowed me to be hands-on with quality checking the data types along with the fields.
- Generate fake data to populate columns for a Sales Performance dataset using Faker Python package
- import the data into Tableau Public desktop
- Create 4-5 charts in Tableau Public highlighting trends of the data
- including KPIs, any filters
- update readme file for Github documenting the process and project
Customizing all the fields of a randomized and fake dataset (using the Faker module in Python) with 1,000 sales recoreds and creating a Sales Performance dashboard in Tableau Public.
- Generated "fake" data using Faker to populate
- Import data into Tableau public desktop
- Create a dashboard outline to address granular and big picture elements of performance
- Created 4-5 charts in Tableau Public highlighting the trend of the data
- KPIs
- Filters by Product
- Libraries installed:
Random
,Pandas
,numpy
,Faker
- Data tools:
Python
,Excel
- Data Source: self-created using Faker & inspiration from ChatGPT
- Software: PyCharm, Microsoft Excel, Github, Tableau Public
- Tableau Public - Sales Performance Dashboard
- Sales Performance dataset CSV
If you have any questions, DM me on Linkedin!
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