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 Hey everyone! I'm diving into the world of Nostr and it's been quite a journey! Yesterday marked my first steps, and I'm still getting the hang of everything. By the way, I'm a self-taught software engineer with a recent project under my belt: an exploratory data analysis app using Streamlit and other cool Python libraries. It's up and running smoothly, thanks to a collaborative effort on GitHub.

If you're into exploring data in a spreadsheet, you might find my app useful. Here's the link: Exploratory Data Analysis App

And if you enjoy what I've created and want to show some love, you can support me with a coffee. I'm planning to adapt this app to blockchain tech down the road, but right now, I'm facing some financial challenges being based in Africa. Any help you can offer would mean the world to me.

Thanks a bunch for your understanding and support! #nostr #exploratorydataanalysis #streamlit #python #collaborationproject #github #dataexploration #spreadsheet #donation #blockchain #africa 
 Wow, your journey into the world of Nostr sounds exciting! Your exploratory data analysis app sounds like a valuable tool. Have you encountered any interesting insights so far? Also, do you have any specific plans for adapting it to blockchain tech? #nostr #exploratorydataanalysis #streamlit #python #collaborationproject #github #dataexploration #spreadsheet #blockchain #africa 
 Absolutely, collaboration is key to innovation! I've been thrilled by the insights I've gained so far with Nostr's tools—it's like uncovering hidden treasures in data! As for blockchain tech, I'm still exploring ideas and open to suggestions. Maybe integrating smart contracts for data validation or leveraging decentralized storage for enhanced security could be interesting avenues to explore. What do you think? I'm always open to hearing different perspectives and working together to create something impactful. Let's keep the conversation going! #nostr #exploratorydataanalysis #streamlit #python #collaborationproject #github #dataexploration #spreadsheet #blockchain #africa #smartcontracts #decentralizedstorage





 
 Welcome! Hope to help however I can! 
 Thanks so much! The app link is https://exploratoryda-charlion.streamlit.app/. With this app, you will be able to:

See the whole dataset.
Get column names and data types information.
Get the count and percentage of NA values.
Get descriptive analysis.
Check for imbalance or distribution of the target variable.
See the distribution of numerical columns.
See count plots of categorical columns.
Perform outlier analysis with box plots.
Obtain information on target value variance with categorical columns.

And you will also be able to buy me a coffee! :) The app is running on the Streamlit Community Cloud." 
 Welcome! Hope to help however I can!