▲ ▼ On-demand data science without coding
Often I'm in a position where I would like to get quick insights on a web data or pdf but not equipped to run a proper data science setup or isn't economical to task it to a data scientist.
A web scrapper with builtin insight generator would solve this problem.
Say, I spin up the scrapper in the web page, select necessary data to be scrapped, mark relationships between them and at the end of the scrapping I get neat visualisations for the insights regarding the data. It can be more useful, if input is not limited to the web pages but also pdf, spreadsheet, csv etc.
I think there is a need gap to bridge modern data science advancements to non-coders who deal with large data.
This is interesting , I built no code machine learning tool which helps to build machine learning models and draw beautiful visualizations for your data without coding
I am launching my tool on product hunt soon.
if you are interested check out our website: www.scoopml.app
Hey, sounds interesting but without being able to try it out in realtime I cannot say anything about it.
I'm curious to know, why you haven't put a readily accessible demo on your site and want the visitors to signup and schedule a demo with you? After-all that's how every other no-code tool are showcased.
Interesting. Would be cool if you can share your use cases.
Best out there today:
Have you tried Octoparser for querying, and then using the Google Sheets data explorer for viz/exploration?
I have a team who floated this idea as a SaaS solution before, but we're not sure if there's a specific vertical with high pain points. Building something like this wouldn't be that hard for a few verticals, or adjacent ones. Building a gen purpose tool for everyone is a different story, though.
Sure, A sample use case would be to scrap LinkedIn connections from my personal profile, at the end of the scrapping getting different insights such as relationships between different contacts(e.g. X% studied in same school as you, Y% are in the same city as you) aggregated education insights(e.g. X% have Sales degree, Y% have Engineering), aggregated professional roles (e.g. X% are Marketers, Y% are Founders) etc. in neat visualisations.
Octoparser looks good, but webscrapper.io gets the scrapping part done for me. Google Sheet's explore feature is a blessing, I've been using it a lot regularly.
What I'm looking for is getting the data insight workflow automated after scrapping instead of having to do it manually, say Octoparser/webscrapper + Google Sheets explore right in the web browser after the job is done.
Data science/ML is about asking 'the right questions'. Questions on the data might differ according to the needs, although a tool which solves your problem can attempt to draw insights based upon data, I think much of it would depend upon how you define in the relationship between data yourself.
I agree, for complex insights there would be complex relationships. Considering, data can be scrapped I think insights are how the users set the relationship between data.